Publicações

 

 
One index to dominate them all: Domain Indexes for improving queries across multiple tables. P. H. Oliveira, L. C. Scabora, D. S. Kaster, and C. Traina-Jr. In Proceedings of the 32nd Annual ACM Symposium on Applied Computing, SAC `17, New York, NY, USA, 2017. ACM. [ bib | DOI | http ]
 
Identifying Urban Inconsistencies via Street Networks. Gabriel Spadon, Gabriel Gimenes, and J. F. Rodrigues-Jr. In Procedia Computer Science --- Proceedings of the International Conference of Computational Science. Elsevier BV, 2017. [ bib ]
 
Behavioral Characterization of Criminality Spread in Cities. Gabriel Spadon, L. C. Scabora, M. V. S. Araujo, P. H. Oliveira, E. P. M. Sousa, C. Traina-Jr, B. B. Machado, and J. F. Rodrigues-Jr. In Procedia Computer Science --- Proceedings of the International Conference of Computational Science. Elsevier BV, 2017. [ bib ]
 
Complex network tools to understand the behavior of criminality in urban areas: the case of San Francisco. Gabriel Spadon, L. C. Scabora, P. H. Oliveira, M. V. S. Araujo, E. P. M. Sousa, C. Traina-Jr, B. B. Machado, and J. F. Rodrigues-Jr. In Information Technologies: New Generations. Springer, 2017. [ bib ]
 
Encoding Visual Attention Features for Effective Biomedical Images Retrieval. G. V. Pedrosa and A. J. M. Traina. In 2016 IEEE 29th International Symposium on Computer-Based Medical Systems, pages 1--6, June 2016. [ bib ]
 
Fire Detection on Unconstrained Videos Using Color-Aware Spatial Modeling and Motion Flow. L. P. S. Avalhais, J. Rodrigues, and A. J. M. Traina. In 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), pages 913--920, Nov 2016. [ bib | DOI ]
 
Fire detection from social media images by means of instance-based learning. M Bedo, W Oliveira, M Cazzolato, A Costa, G Blanco, J Rodrigues-Jr, A Traina, and C Trina-Jr. In Slimane Hammoudi, Leszek A. Maciaszek, Ernest Teniente, Olivier Camp, and José Cordeiro, editors, Enterprise Information Systems, pages 23--44. LNBIP241, Springer, Barcelona, Spain, 2016. [ bib | DOI | .pdf ]
Social media can provide valuable information to support decision making in crisis management, such as in accidents, explosions, and fires. However, much of the data from social media are images, which are uploaded at a rate that makes it impossible for human beings to analyze them. To cope with that problem, we design and implement a database-driven architecture for fast and accurate fire detection named FFireDt. The design of FFireDt uses the instance-based learning through indexed similarity queries expressed as an extension of the relational Structured Query Language. Our contributions are: (i) the design of the Fast-Fire Detection (F F ireDt), which achieves efficiency and efficacy rates that rival to the state-of-the-art techniques; (ii) the sound evaluation of 36 image descriptors, for the task of image classification in social media; (iii) the evaluation of content-based indexing with respect to the construction of instance-based classification systems; and (iv) the curation of a ground-truth annotated dataset of fire images from social media. Using real data from Flickr, the experiments showed that system FFireDt was able to achieve a precision for fire detection comparable to that of human annotators. Our results are promising for the engineering of systems to monitor images uploaded to social media services.

 
Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy. Marcos Vinicius Naves Bedo, Davi Pereira dos Santos, Marcelo Ponciano da Silva, Paulo Mazzoncini de Azevedo Marques, André Carlos Ponce de Leon Ferreira de Carvalho, and Jr. Traina, Caetano. Journal of Digital Imaging, 29(1):22--37, 2016. [ bib ]
 
Improving Multivariate Data Streams Clustering. Christian C. Bones, Luciana A. S. Romani, and Elaine P. M. de Sousa. In The International Conference on Computational Science (ICCS 2016), volume 80 of Procedia Computer Science, pages 461--471, San Diego, CA, USA, 2016. [ bib ]
 
Faster cloud Star Joins with reduced disk spill and network communication. Jaqueline Joice Brito, Thiago Mosqueiro, Ricardo Rodrigues Ciferri, and Cristina Dutra de Aguiar Ciferri. In International Conference on Computational Science 2016, ICCS 2016, 6-8 June 2016, San Diego, California, USA, pages 74--85, 2016. [ bib ]
 
Spatial Indexing in Flash Memories: Proposal of an Efficient and Robust Spatial Index with Durability. A. C. Carniel and C. D. A. Ciferri. In Proceedings of the Brazilian Symposium on Databases - Workshop of Thesis and Master Dissertations in Databases, pages 66--73, Salvador, BH, Brazil, 2016. [ bib | .pdf ]
 
Experimental Evaluation of Spatial Indices with FESTIval. A. C. Carniel, R. R. Ciferri, and C. D. A. Ciferri. In Proceedings of the Brazilian Symposium on Databases - Demonstration Track, pages 123--128, Salvador, BH, Brazil, 2016. [ bib | .pdf ]
 
The Performance Relation of Spatial Indexing on Hard Disk Drives and Solid State Drives. A. C. Carniel, R. R. Ciferri, and C. D. A. Ciferri. In Brazilian Symposium on GeoInformatics, pages 263--274, 2016. [ bib ]
 
Handling Fuzzy Points and Fuzzy Lines using the FuzzyGeometry Abstract Data Type. A. C. Carniel, R. R. Ciferri, and C. D. A. Ciferri. Journal of Information and Data Management, 7(1):35--51, 2016. [ bib | http ]
 
The VagueGeometry Abstract Data Type. A. C. Carniel, R. R. Ciferri, and C. D. A. Ciferri. Journal of Information and Data Management, 7(1):18--34, 2016. [ bib | http ]
 
A conceptual model of fuzzy topological relationships for fuzzy regions. A. C. Carniel and M. Schneider. In Proceedings of the IEEE International Conference on Fuzzy Systems, pages 2271--2278, Vancouver, BC, Canada, 2016. [ bib | DOI | http ]
 
Efficient Self-similarity Range Wide-joins Fostering Near-duplicate Image Detection in Emergency Scenarios. Luiz Olmes Carvalho, Lúcio Fernandes Dutra Santos, William Dener de Oliveira, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 18th International Conference on Enterprise Information Systems (ICEIS), page 12 pags., Rome, Italy, 2016. ScitePress Digital Lybrary. [ bib ]
 
Unveiling smoke in social images with the SmokeBlock approach. Mirela T. Cazzolato, Marcos V.N. Bedo, Alceu Costa, Jessica A. Souza, Caetano Traina-Jr, Jose F. Rodrigues Jr., and Agma J.M. Traina. In Proceedings of the 31st ACM/SIGAPP Symposium on Applied Computing, pages 49--54. ACM Press, 2016. [ bib | DOI | .pdf ]
 
Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites. Alceu Ferraz Costa, Agma Juci Machado Traina, Caetano Traina Jr., and Christos Faloutsos. In IEEE International Conference on Data Mining (IEEE ICDM), pages 91--100, Barcelona, Spain, 2016. IEEE. [ bib ]
 
On the Support of a Similarity-Enabled Relational Database Management System in Civilian Crisis Situations. Paulo H. Oliveira, Antonio C. Fraideinberze, Natan A. Laverde, Hugo Gualdron, Andre S. Gonzaga, Lucas D. Ferreira, Willian D. Oliveira, Jose F. Rodrigues-Jr., Robson L. F. Cordeiro, Caetano Traina Jr., Agma J. M. Traina, and Elaine P. M. Sousa. In Proceedings of the 18th International Conference on Enterprise Information Systems, pages 119--126, Setubal, Portugal, 2016. SCITEPRESS - Science and Technology Publications. [ bib | DOI | http ]
 
FOMP: A Novel Preprocessing Technique to Speed-Up the Outlier Removal from Matched Points. J. S. Ramos, C. Y. V. Watanabey, and A. J. M. Traina. In 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pages 225--232, Oct 2016. [ bib | DOI ]
 
On the convergence of nanotechnology and Big Data analysis for computer-aided diagnosis. Jose Rodrigues, Fernando Paulovich, Maria Oliveira, and Osvaldo Oliveira. Nanomedicine, 11(8):959--982, 2016. [ bib | DOI | http ]
An overview is provided of the challenges involved in building computer-aided diagnosis systems capable of precise medical diagnostics based on integration and interpretation of data from different sources and formats. The availability of massive amounts of data and computational methods associated with the Big Data paradigm has brought hope that such systems may soon be available in routine clinical practices, which is not the case today. We focus on visual and machine learning analysis of medical data acquired with varied nanotech-based techniques and on methods for Big Data infrastructure. Because diagnosis is essentially a classification task, we address the machine learning techniques with supervised and unsupervised classification, making a critical assessment of the progress already made in the medical field and the prospects for the near future. We also advocate that successful computer-aided diagnosis requires a merge of methods and concepts from nanotechnology and Big Data analysis.

 
Physical DataWarehouse Design on NoSQL Databases - OLAP Query Processing over HBase. Lucas C. Scabora, Jaqueline J. Brito, Ricardo Rodrigues Ciferri, and Cristina Dutra de Aguiar Ciferri. In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1, pages 111--118, Setúbal, Portugal, 2016. SCITEPRESS. [ bib ]
Nowadays, data warehousing and online analytical processing (OLAP) are core technologies in business intelligence and therefore have drawn much interest by researchers in the last decade. However, these technologies have been mainly developed for relational database systems in centralized environments. In other words, these technologies have not been designed to be applied in scalable systems such as NoSQL databases. Adapting a data warehousing environment to NoSQL databases introduces several advantages, such as scalability and flexibility. This paper investigates three physical data warehouse designs to adapt the Star Schema Benchmark for its use in NoSQL databases. In particular, our main investigation refers to the OLAP query processing over column-oriented databases using the MapReduce framework. We analyze the impact of distributing attributes among column-families in HBase on the OLAP query performance. Our experiments showed how processing time of OLAP queries was impacted by a physical data warehouse design regarding the number of dimensions accessed and the data volume. We conclude that using distinct distributions of attributes among column-families can improve OLAP query performance in HBase and consequently make the benchmark more suitable for OLAP over NoSQL databases.

 
Halite_ds: Fast and Scalable Subspace Clustering for Multidimensional Data Streams. Afonso E Silva, Lucas L Sanches, Antonio C Fraideinberze, and Robson L F Cordeiro. In Proceedings of the 2016 SIAM International Conference on Data Mining, pages 1--9. SIAM, 2016. [ bib ]
 
ClusMAM: Fast and Effective Unsupervised Clustering of Large Complex Datasets using Metric Access Methods. Jessica A. de Souza, Mirela T. Cazzolato, and Agma J. M. Traina. In Proceedings of the 31st ACM/SIGAPP Symposium on Applied Computing, pages 1--6 (to appear). ACM Press, 2016. [ bib ]
 
Vertebral Body Segmentation of Spine MR Images Using Superpixels. P. D. Barbieri, G. V. Pedrosa, A. J. M. Traina, and M. H. Nogueira-Barbosa. In 2015 IEEE 28th International Symposium on Computer-Based Medical Systems, pages 44--49, São Carlos, SP-Brazil, June 2015. IEEE Computer Society. [ bib | DOI ]
 
What if Multiusers Wish to Reconcile Their Data? Dayse Silveira de Almeida, Carmem Satie Hara, and Cristina Dutra de Aguiar Ciferri. In ICEIS 2015 - Proceedings of the 17th International Conference on Enterprise Information Systems, Volume 1, Barcelona, Spain, 27-30 April, 2015, pages 184--195, 2015. [ bib | DOI | http ]
 
Techniques for Effective and Efficient Fire Detection from Social Media Images. Marcos Vinicius Naves Bedo, Gustavo Blanco, Willian D. Oliveira, Mirela T. Cazzolato, Alceu Ferraz Costa, José Fernando Rodrigues Jr., Agma J. M. Traina, and Caetano Traina Jr. In ICEIS 2015 - Proceedings of the 17th International Conference on Enterprise Information Systems, Volume 1, Barcelona, Spain, 27-30 April, 2015, pages 34--45, 2015. [ bib | DOI | http ]
 
Compact distance histogram: a novel structure to boost k-nearest neighbor queries. Marcos Vinicius Naves Bedo, Daniel dos Santos Kaster, Agma J. M. Traina, and Jr. Traina, Caetano. In Amarnath Gupta and Susan L. Rathbun, editors, SSDBM '15 Proceedings of the 27th International Conference on Scientific and Statistical Database Management, pages 36:1--36:6, La Jolla, CA, USA, 2015. ACM. [ bib ]
 
Enterprise Information Systems: 17th International Conference, ICEIS 2015, Barcelona, Spain, April 27-30, 2015, Revised Selected Papers. Marcos Vinicius Naves Bedo, Willian Dener de Oliveira, Mirela T. Cazzolato, Alceu Ferraz Costa, Gustavo Blanco, Jose F. Rodrigues-Jr, Agma J.M. Traina, and Caetano Traina Jr., chapter Fire Detection from Social Media Images by Means of Instance-Based Learning, pages 23--44. Springer International Publishing, 2015. [ bib | DOI | http ]
 
Fire Detection from Social Media Images by Means of Instance-Based Learning. Marcos Vinicius Naves Bedo, William Dener de Oliveira, Mirela Teixeira Cazzolato, Alceu Ferraz Costa, Gustavo Blanco, José Fernando Rodrigues Jr., Agma Juci Machado Traina, and Caetano Traina Jr. In S. Hammoudi et al., editor, 17th International Conference Enterprise Information Systems, ICEIS 2015, Revised Selected Papers, volume 241 of Lecture Notes in Business Information Processing, pages 23--44, Barcelona, Spain, 2015. Springer International Publishing Switzerland. [ bib ]
 
Color and Texture Influence on Computer-Aided Diagnosis of Dermatological Ulcers. Marcos Vinicius Naves Bedo, Lucio Fernandes Dutra Santos, Willian Dener de Oliveira, Gustavo Blanco, Agma Juci Machado Traina, Marco Antonio Frade, Paulo Mazzoncini de Azevedo Marques, and Jr. Traina, Caetano. In Jr. Traina, Caetano, Pedro Pereira Rodrigues, Bridget Kane, Paulo Mazzoncini de Azevedo Marques, and Agma Juci Machado Traina, editors, 28th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2015, pages 109--114, Sao Carlos, Brazil, 2015. [ bib ]
 
Clustering Multivariate Climate Data Streams using Fractal Dimension. Christian C. Bones, Luciana A. S. Romani, and Elaine P. M. de Sousa. In The 30th Brazilian Symposium on Databases, pages 41--52, Petropolis, RJ, Brazil, 2015. [ bib ]
 
Embedding Vague Spatial Objects into Spatial Databases using the VagueGeometry Abstract Data Type. A. C. Carniel, R. R. Ciferri, and C. D. A. Ciferri. In Proceedings of the Brazilian Symposium on GeoInformatics, pages 233--244, Campos do Jordão, SP, Brazil, 2015. [ bib | .pdf ]
 
An Abstract Data Type to Handle Vague Spatial Objects Based on the Fuzzy Model. A. C. Carniel, R. R. Ciferri, and C. D. A. Ciferri. In Proceedings of the Brazilian Symposium on GeoInformatics, pages 210--221, Campos do Jordão, SP, Brazil, 2015. [ bib | .pdf ]
 
FIFUS: A Rule-based Fuzzy Inference Model for Fuzzy Spatial Objects in Spatial Databases and GIS. A. C. Carniel, M. Schneider, and R. R. Ciferri. In 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 529--532, New York, NY, USA, 2015. [ bib | DOI | http ]
 
Similarity Joins and Beyond: An Extended Set of Binary Operators with Order. Luiz Olmes Carvalho, Lucio F. D. Santos, Willian D. Oliveira, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Giuseppe Amato, Richard C. H. Connor, Fabrizio Falchi, and Claudio Gennaro, editors, SISAP 2015 Similarity Search and Applications - 8th International Conference, volume 9371 of Lecture Notes in Computer Science, pages 29--41, Glasgow, UK, 2015. Springer. [ bib ]
 
Self Similarity Wide-Joins for Near-Duplicate Image Detection. L. O. CARVALHO, L. F. D. SANTOS, W. D. OLIVEIRA, A. J. M. TRAINA, and C. TRAINA JR. In IEEE International Symposium on Multimedia, pages 237--240, Miami, USA, 2015. IEEE. [ bib ]
 
BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis. Daniel YT Chino, Letricia PS Avalhais, Jose F Rodrigues, and Agma JM Traina. In Graphics, Patterns and Images (SIBGRAPI), 2015 28th SIBGRAPI Conference on, pages 95--102. IEEE, IEEE Press, 2015. [ bib | DOI | .pdf ]
Emergency events involving fire are potentially harmful, demanding a fast and precise decision making. The use of crowdsourcing image and videos on crisis management systems can aid in these situations by providing more information than verbal/textual descriptions. Due to the usual high volume of data, automatic solutions need to discard non-relevant content without losing relevant information. There are several methods for fire detection on video using color-based models. However, they are not adequate for still image processing, because they can suffer on high false-positive results. These methods also suffer from parameters with little physical meaning, which makes fine tuning a difficult task. In this context, we propose a novel fire detection method for still images that uses classification based on color features combined with texture classification on superpixel regions. Our method uses a reduced number of parameters if compared to previous works, easing the process of fine tuning the method. Results show the effectiveness of our method of reducing false-positives while its precision remains compatible with the state-of-the-art methods.

 
Enterprise Information Systems: 16th International Conference, ICEIS 2014, Lisbon, Portugal, April 27-30, 2014, Revised Selected Papers. Daniel Y. T. Chino, Renata R. V. Goncalves, Luciana A. S. Romani, Caetano Traina, and Agma J. M. Traina, chapter Discovering Frequent Patterns on Agrometeorological Data with TrieMotif, pages 91--107. Springer International Publishing, Cham, 2015. [ bib | DOI | http ]
 
RSC: Mining and Modeling Temporal Activity in Social Media. Alceu Ferraz Costa, Yuto Yamaguchi, Agma Juci Machado Traina, Jr. Traina, Caetano, and Christos Faloutsos. In Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, and Graham Williams, editors, 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 269--278, Sydney, NSW, Australia, 2015. [ bib ]
 
Multimodal graph-based analysis over the DBLP repository: critical discoveries and hypotheses. Gabriel Gimenes, Hugo Gualdron, Mario Gazziro, and Jose Rodrigues. In A C M Press, editor, Proceedings of the ACM Symposium on Applied Computing, pages 1129--1135. ACM Press, 2015. [ bib | DOI | .pdf ]
 
Advanced techniques for graph analysis: a multimodal approach over planetary-scale data. Gabriel Gimenes and Jose Rodrigues. Master's thesis, University of Sao Paulo, 2015. [ bib | .pdf ]
 
StructMatrix: Large-scale visualization of graphs by means of structure detection and dense matrices. Hugo Gualdron, Robson Cordeiro, and Jose Rodrigues. In The Fifth IEEE ICDM Workshop on Data Mining in Networks, pages 493--500. IEEE, 2015. [ bib | DOI | .pdf ]
Given a large-scale graph with millions of nodes and edges, how to reveal macro patterns of interest, like cliques, bi-partite cores, stars, and chains? Furthermore, how to visualize such patterns altogether getting insights from the graph to support wise decision-making? Although there are many algorithmic and visual techniques to analyze graphs, none of the existing approaches is able to present the structural information of graphs at large scale. Hence, this paper describes , a methodology aimed at high scalable visual inspection of graph structures with the goal of revealing macro patterns of interest. StructMatrix combines algorithmic structure detection and adjacency matrix visualization to present cardinality, distribution, and relationship features of the structures found in a given graph. We performed experiments in real, large-scale graphs with up to millions of nodes and over 7 million edges. StructMatrix revealed that graphs of high relevance (e.g., Web, Wikipedia and DBLP) have characterizations that reflect the nature of their corresponding domains; our findings have not been seen in the literature so far. We expect that our technique will bring deeper insights into large graph mining, leveraging their use for decision making.

 
Block-based and structure-based techniques for large-scale graph processing and visualization. Hugo Gualdron and Jose Rodrigues. Master's thesis, University of Sao Paulo, 2015. [ bib | .pdf ]
Data analysis techniques can be useful in decision-making processes, when patterns of interest can indicate trends in specific domains. Such trends might support evaluation, definition of alternatives, or prediction of events. Currently, datasets have increased in size and complexity, posing challenges to modern hardware resources. In the case of large datasets that can be represented as graphs, issues of visualization and scalable processing are of current concern. Distributed frameworks are commonly used to deal with this data, but the deployment and the management of computational clusters can be complex, demanding technical and financial resources that can be prohibitive in several scenarios. Therefore, it is desirable to design efficient techniques for processing and visualization of large scale graphs that optimize hardware resources in a single computational node. In this course of action, we developed a visualization technique named StructMatrix to find interesting insights on real-life graphs. In addition, we proposed a graph processing framework M-Flash that used a novel, bimodal block processing strategy BBP to boost computation speed by minimizing I/O cost. Our results show that our visualization technique allows an efficient and interactive exploration of big graphs and our framework M-Flash significantly outperformed all state-of-the-art approaches based on secondary memory. Our contributions have been validated in peer-review events demonstrating the potential of our finding in fostering the analytical possibilities related to large-graph data domains.

 
Design and Evaluation Case Study: Evaluating The Kinect Device In The Task of Natural Interaction In A Visualization System. Rafael M O Libardi, Agma J M Traina, and Jose Rodrigues. International Journal of Human Computer Interaction (IJHCI), 5(1):20, 2015. [ bib | .pdf ]
 
Improving the Pruning Ability of Dynamic Metric Access Methods with Local Additional Pivots and Anticipation of Information. Paulo H. Oliveira, Caetano Traina Jr., and Daniel S. Kaster. In Morzy Tadeusz, Patrick Valduriez, and Ladjel Bellatreche, editors, Advances in Databases and Information Systems, volume 9282 of Lecture Notes in Computer Science, pages 18--31. Springer International Publishing, Heidelberg, Germany, 2015. [ bib | DOI | http ]
Metric Access Methods (MAMs) have been proved to allow performing similarity queries over complex data more efficiently than other access methods. They can be considered dynamic or static depending on the pivot type used in their construction. Global pivots tend to compromise the dynamicity of MAMs, as eventual pivot-related updates must be propagated through the entire structure, while local pivots allow this maintenance to occur locally. Several applications handle online complex data and, consequently, demand efficient dynamic indexes to be successful. In this context, this work presents two techniques for improving the pruning ability of dynamic MAMs: (i) using cutting local additional pivots to reduce distance calculations and (ii) anticipating information from child nodes to reduce unnecessary disk accesses. The experiments reveal significant improvements in a dynamic MAM, reducing execution time in more than 50% for similarity queries posed on datasets ranging from moderate to high dimensionality and cardinality.

 
Making an Image Worth a Thousand Visual Words. In: XI Workshop de Vis�o Computacional. Glauco V. Pedrosa and Agma J. M. Traina. In XI Workshop de Visao Computacional, WVC, pages 1--6, 2015. [ bib ]
 
Compact and Discriminative Approach for Encoding Spatial-relationship of Visual Words. Glauco V. Pedrosa and Agma J. M. Traina. In Proceedings of the 30th Annual ACM Symposium on Applied Computing, SAC '15, pages 92--95, Salamanca, Spain, 2015. ACM. [ bib | DOI ]
 
Shape Description Based on Bag of Salience Points. Glauco V. Pedrosa, Agma J. M. Traina, and Celia A. Z. Barcelos. In Proceedings of the 30th Annual ACM Symposium on Applied Computing, SAC '15, pages 74--79, , Spain, 2015. ACM. [ bib | DOI ]
 
Similarity sets: A new concept of sets to seamlessly handle similarity in database management systems. Ives Rene Venturini Pola, Robson Leonardo Ferreira Cordeiro, Jr. Traina, Caetano, and Agma Juci Machado Traina. Inf. Sci., 52:130--148, 2015. [ bib ]
 
Improving Metric Access Methods with Bucket Files. Ives Rene Venturini Pola, Agma J. M. Traina, Jr. Traina, Caetano, and Daniel dos Santos Kaster. In Giuseppe Amato, Richard C. H. Connor, Fabrizio Falchi, and Claudio Gennaro, editors, SISAP 2015 Similarity Search and Applications - 8th International Conference, volume 9371 of Lecture Notes in Computer Science, pages 65--76, Glasgow, UK, 2015. Springer. [ bib ]
 
Automatic counting and measuring fish oocytes from microscopic images. Jonathan S. Ramos, Agma J. M. Traina, Carolina Y. V. Watanabe, Diogo Hungria, Talles Colaço Fernandes, and Carolina R. C. Doria. In XI Workshop de Visaõ Computacional, pages 38--43, 2015. [ bib ]
 
Diversity in Similarity Joins. Lucio F. D. Santos, Luiz Olmes Carvalho, Willian D. Oliveira, Agma J. M. Traina, and Jr. Traina, Caetano. In Giuseppe Amato, Richard C. H. Connor, Fabrizio Falchi, and Claudio Gennaro, editors, SISAP 2015 Similarity Search and Applications - 8th International Conference, volume 9371 of Lecture Notes in Computer Science, pages 42--53, Glasgow, UK, 2015. Springer. [ bib ]
 
Combining Diversity Queries and Visual Mining to Improve Content-Based Image Retrieval Systems: The DiVI Method. Lúcio Fernandes Dutra Santos, Rafael L. Dias, Marcela Xavier Ribeiro, Agma Juci Machado Traina, and Jr. Traina, Caetano. In IEEE International Symposium on Multimedia -- ISM'2015, pages 357--362, Miami, Fl, USA, 2015. IEEE. [ bib ]
 
Combine-and-Conquer: Improving the Diversity in Similarity Search Through Influence Sampling. L. F. D. SANTOS, W. D. OLIVEIRA, L. O. CARVALHO, M. R. P. FERREIRA, A. J. M. TRAINA, and C. TRAINA JR. In Roger L. Wainwright, Juan Manuel Corchado, Alessio Bechini, and Jiman Hong, editors, 30th ACM Symposium On Applied Computing, pages 994--999, Salamanca, Spain, 2015. ACM. [ bib ]
 
Approximate XML structure validation based on document-grammar tree similarity. Joe Tekli, Richard Chbeir, Agma Juci Machado Traina, Jr. Traina, Caetano, and Renato Fileto. Information Sciences, 295(1):258--302, 2015. [ bib ]
 
Social tagging for e-learning: an approach based on the triplet of learners, learning objects and tags. L Zaina, J Rodrigues-Jr, and A Amaral. In Learning Technology for Education in Cloud, pages 104--115. Springer, 2015. [ bib | DOI | .pdf ]
The emerging of the Web 2.0 has allowed users more interactivity with Web applications. Social tagging has been recognized as an important solution to the description of resources available on the Web. In the context of e-learning it may be used as an auxiliary mechanism to the composition of learning object metadata. This paper presents an approach based on the triplet of learners, learning objects and tags for providing the social tagging for e-learning. We performed an experiment with 336 technician students that marked 218 elec-tronic learning objects for about 4,985 times. Although our results have shown that social tagging is a promising practice for e-learning some challenges on how to implement it has to be overcome.

 
Using Sub-dictionaries for Image Representation Based on the Bag-of-Visual-Words Approach. G. V. Pedrosa, A. J. M. Traina, and C. Traina. In 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, pages 165--168, New York-NY, USA, May 2014. IEEE Computer Society. [ bib | DOI ]
 
Integrating visual words as bunch of n-grams for effective biomedical image classification. G. V. Pedrosa, M. M. Rahman, S. K. Antani, D. Demner-Fushman, L. R. Long, and A. J. M. Traina. In IEEE Winter Conference on Applications of Computer Vision, pages 431--436, March 2014. [ bib | DOI ]
 
Cataloguing of learning objects using social tagging. Anderson Amaral, Luciana Zaina, and Jose Rodrigues. In XL Latin American Computing Conference (CLEI), pages 1--9. IEEE Press, 2014. [ bib | DOI | .pdf ]
Social tagging has been recognized as an important solution to the description of resources available on the Web. In the context of e-learning it is presented as an auxiliary mechanism to the composition of learning object metadata. This article aims to present the results of a study on the state of the art of works related to social tagging and learning objects, promoting a discussion about the main elements related to the concepts.

 
The use of social tagging to support the cataloguing of learning objects. Anderson Amaral, Luciana Zaina, Jose Rodrigues, Renan Aguiar, and Marcos Barboza. In IEEE Press, editor, Proceedings of the IEEE Frontiers in Education Conference, pages 3018--3024. IEEE Press, 2014. [ bib | DOI | .pdf ]
 
The SITSMining Framework - A Data Mining Approach for Satellite Image Time Series. Bruno F. Amaral, Daniel Y. T. Chino, Luciana A. S. Romani, Agma J. M. Traina, and Elaine P. M. Sousa. In ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems, volume 1, pages 225--232. SciTePress, 2014. [ bib | DOI | http ]
 
Data Mining in Meteorological Time Series using Association Rules and a Similarity Searching-Based Method. Claudinei Garcia de Andrade, Mirela Teixeira Cazzolato, and Marcela Xavier Ribeiro. In KDMiLe 2014 - Proceedings of the 2nd Symposium on Knowledge Discovery, Mining and Learning, Volume 1, São Carlos, Brazil, 17-19 July, 2013, pages 1--8, 2014. [ bib ]
 
Open issues for partitioning clustering methods: an overview. Maria Camila Nardini Barioni, Humberto Luíz Razente, Alessandra M. R. Marcelino, Agma J. M. Traina, and Caetano Traina Jr. Data Mining and Knowledge Discovery, 4(3):161--177, 2014. [ bib ]
 
Shrub: Searching Through Heuristics for the Better Query Execution Plan. M. V. N. BEDO, L. O. CARVALHO, G. V. PIERRO, and C. TRAINA JR. In 29 Simposio Brasileiro de Banco de Dados, pages 245--250, Curitiba, PR, Brasil, 2014. SBC. [ bib ]
 
SHRuB -- Searching through Heuristics for the Best Query-Execution Plan. Marcos Vinicius Naves Bedo, Luiz Olmes Carvalho, Gabriel Vicente de Pierro, and Caetano Traina Jr. In Seção de Demos e Aplicações do Simpósio Brasileiro de Banco de Dados (SBBD'14), pages 1--6, Curitiba, PR, 2014. [ bib ]
 
Seamless integration of distance functions and feature vectors for similarity-queries processing. Marcos Vinicius Naves Bedo, Agma Juci Machado Traina, and Caetano Traina Jr. Journal of Information and Data Management (JIDM), 5(1):1--14, 2014. [ bib ]
 
Applying texture-spectrum features for lung-CAD purposes. Gustavo Blanco, Marcos Vinicius Naves Bedo, Marcelo Ponciano-Silva, and Agma J. M. Traina. 2014. [ bib | http ]
 
Analyzing Missing Data in Metric Spaces. Safia Brinis, Agma Juci Machado Traina, and Caetano Traina JR. Journal of Information and Data Management, 5(3):224–237, 2014. [ bib ]
 
Analyzing Missing Data in Metric Spaces. Safia Brinis, Agma Juci Machado Traina, and Caetano Traina Jr. Journal of Information and Data Management (JIDM), 5(1):1--14, 2014. [ bib ]
 
PRoSPer: Perceptual similarity queries in medical CBIR systems through user profiles. Pedro H. Bugatti, Daniel S. Kaster, Marcelo Ponciano-Silva, Caetano Traina, Paulo M. Azevedo-Marques, and Agma J. M. Traina. Computers in Biology and Medicine, 45:8--19, 2014. [ bib ]
 
Modeling Fuzzy Topological Predicates for Fuzzy Regions. A. C. Carniel, M. Schneider, R. R. Ciferri, and C. D. A. Ciferri. In 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 529--532, New York, NY, USA, 2014. [ bib | DOI | http ]
 
A Wider Concept for Similarity Joins. L. O. CARVALHO, W. D. OLIVEIRA, I. R. V. POLA, A. J. M. TRAINA, and C. TRAINA JR. Journal of Information and Data Management, 5(3):210--223, 2014. [ bib ]
 
MedInject: a General Purpose Information Retrieval Framework Applied in a Medical Context. Luiz Olmes Carvalho, Enzo Seraphim, Thatyana F. Piola Seraphim, Agma Juci Machado Traina, and Caetano Traina Jr. In IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS), pages 287--293, New York-NY, USA, 2014. IEEE Computer Society. [ bib ]
 
MedInject: a General-Purpose Information Retrieval Framework Applied in a Medical Context. L. O. CARVALHO, E. SERAPHIM, T. F. P. SERAPHIM, A. J. M. TRAINA, and C. TRAINA JR. In IEEE 27th International Symposium on Computer-Based Medical Systems, pages 308--313, New York, USA, 2014. IEEE. [ bib ]
 
Classifying High-Speed Data Streams Using Statistical Decision Trees. Mirela Teixeira Cazzolato and Marcela Xavier Ribeiro. JIDM, 5(1):84--93, 2014. [ bib | http ]
 
SemIndex: Semantic-Aware Inverted Index. Richard Chbeir, Yi Luo, Joe Tekli, Kokou Yetongnon, Carlos Raymundo Ibañez, Agma Juci Machado Traina, Jr. Traina, Caetano, and Marc Al Assad. In Yannis Manolopoulos, Goce Trajcevski, and Margita Kon-Popovska, editors, Adbis'2014, pages 290--307, Ohrid, Macedonia, 2014. Springer. [ bib ]
 
TrieMotif: a New and Efficient Method to Mine Frequent k-Motifs from Large Time Series. Daniel Yoshinobu Takada Chino, Renata Ribeiro do Valle Gonçalves, Luciana Alvim S. Romani, Caetano Traina Jr, and Agma Juci Machado Traina. In Int'l Conf. on Enterprise Information Systems (ICEIS 2014), pages 1--10, Lisbon, Portugal, 2014. SCITEPRESS Digital Library. [ bib ]
 
Discovering Frequent Patterns on Agrometeorological Data with TrieMotif. Daniel Yoshinobu Takada Chino, Renata Ribeiro do Valle Gonçalves, Luciana Alvim S. Romani, Jr. Traina, Caetano, and Agma Juci Machado Traina. In ICEIS 2014, pages 91--107, Lisbon, Portugal, 2014. Springer International Publishing. [ bib ]
 
TrieMotif - A New and Efficient Method to Mine Frequent K-Motifs from Large Time Series. Daniel Yoshinobu Takada Chino, Renata Ribeiro do Valle Gonçalves, Luciana A. S. Romani, Caetano Traina Jr., and Agma J. M. Traina. In ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems, volume 1, pages 60--69. SciTePress, 2014. [ bib | DOI | http ]
 
QuMinS: Fast and scalable querying, mining and summarizing multi-modal databases. Robson L. F. Cordeiro, Fan Guo, Donna S. Haverkamp, James H. Horne, Ellen K. Hughes, Gunhee Kim, Luciana A. S. Romani, Priscila P. Coltri, Tamires T. Souza, Agma J. M. Traina, Caetano Traina Jr, and Christos Faloutsos. Information Sciences, 264(0):211--229, 2014. [ bib ]
 
MFS-Map: efficient context and content combination to annotate images. SAC 2014: 945-950. Alceu Ferraz Costa, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Yookun Cho, Sung Y. Shin, Sang-Wook Kim, Chih-Cheng Hung, and Jiman Hong, editors, ACMSAC'2014, pages 945--950, Gyeongju, Republic of Korea, 2014. ACM New York, NY, USA. [ bib ]
 
Supervised-learning link recommendation in the DBLP co-authoring network. Gabriel P Gimenes, Hugo Gualdron, Thiago R Raddo, and Jose F Rodrigues. In Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on, pages 563--569. IEEE, IEEE Press, 2014. [ bib | DOI | .pdf ]
Currently, link recommendation has gained more attention as networked data becomes abundant in several scenarios. However, existing methods for this task have failed in considering solely the structure of dynamic networks for improved performance and accuracy. Hence, in this work, we present a methodology based on the use of multiple topological metrics in order to achieve prospective link recommendations considering time constraints. The combination of such metrics is used as input to binary classification algorithms that state whether two pairs of authors will/should define a link. We experimented with five algorithms, what allowed us to reach high rates of accuracy and to evaluate the different classification paradigms. Our results also demonstrated that time parameters and the activity profile of the authors can significantly influence the recommendation. In the context of DBLP, this research is strategic as it may assist on identifying potential partners, research groups with similar themes, research competition (absence of obvious links), and related work.

 
Embedding k-Nearest Neighbor Queries into Relational Database Management Systems. Gabriel Vicente de Pierro, Monica Ribeiro Porto Ferreira, Willian Dener de Oliveira, Lúcio Fernandes Dutra Santos, Agma Juci Machado Traina, and Caetano Traina Jr. Journal of Information and Data Management (JIDM), 5(1):1--14, 2014. [ bib ]
 
The NOBH-tree: Improving in-memory metric access methods by using metric hyperplanes with non-overlapping nodes. Ives Renê Venturini Pola, Caetano Traina Jr, and Agma Juci Machado Traina. Data & Knowledge Engineering, 94(Part A):65--88, 2014. [ bib ]
 
Análise de Dados Multi-relacional Suportada por Técnicas de Pré-processamento de texto e Decomposição por Valor Singular. Rosa Virginia Encinas Quille and Jose Rodrigues. Master's thesis, University of Sao Paulo, - Sao Carlos, SP, Brazil, 2014. [ bib | .pdf ]
 
Spectral analysis and text processing over the computer science literature: patterns and discoveries. Rosa V. E. Quille, Jr. Traina, Caetano, and Jr. Rodrigues, José Fernando. In ACMSAC'2014, pages 653--657, Gyeongju, Republic of Korea, 2014. ACM. [ bib ]
 
Aleijadinho 3D: technology for the preservation and dissemination of cultural heritage. Jose Rodrigues, Mario Gazziro, Natalia M O Goncalves, Oscar Neto, Yvan Fernandes, Anaya Gimenes, Caio Alegre, and Romulo Assis. Technical Report 400, University of Sao Paulo, Avenida Trabalhador São-carlense, 400 - Centro CEP: 13566-590 - São Carlos - SP, 2014. 3D mesh data available - http://aleijadinho3d.icmc.usp.br/data.html. [ bib | .pdf ]
 
Being Similar is Not Enough: How to Bridge Usability Gap Through Diversity in Medical Images. Lúcio Fernandes Dutra Santos, Marcos Vinicius Naves Bedo, Marcelo Ponciano da Silva, Agma Juci Machado Traina, and Caetano Traina Jr. In IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS), pages 308--313, New York-NY, USA, 2014. IEEE Computer Society. [ bib ]
 
Have You Met VikS? A Novel Framework for Visual Diversity Search Analysis. Lúcio Fernandes Dutra Santos, Rafael L. Dias, Mônica Ribeiro Porto Ferreira, Marcela Xavier Ribeiro, Agma Juci Machado Traina, and Caetano Traina Jr. In Seção de Demos e Aplicações do Simpósio Brasileiro de Banco de Dados (SBBD'14), pages 1--6, Curitiba, PR, 2014. [ bib ]
 
Findings on ranking evaluation functions for feature weighting in image retrieval. Sergio Francisco da Silva, Letrícia Pereira Soares Avalhais, Marcos Aurélio Batista, Célia Aparecida Zorzo Barcelos, and Agma Juci Machado Traina. Journal of The Brazilian Computer Society (JBCS), 20(7):1--10, 2014. [ bib ]
 
A Similarity-Based Approach for Financial Time Series Analysis and Forecasting. Marcos Vinicius Naves Bedo, Davi Pereira dos Santos, Daniel dos Santos Kaster, and Jr. Traina, Caetano. In Hendrik Decker, Lenka Lhotská, Sebastian Link, Josef Basl, and A Min Tjoa, editors, 24th International Conference on Database and Expert Systems Applications - DEXA 2013, volume 8056 of Lecture Notes in Computer Science, pages 94--108, Prague, Czech Republic, 2013. Springer Berlin Heidelberg. [ bib ]
 
ObInject: a NoODMG Persistence and Indexing Framework for Object Injection. Luiz Olmes Carvalho, Thatyana F. Piola Seraphim, Jr. Traina, Caetano, and Enzo Seraphim. In Simpósio Brasileiro de Banco de Dados, pages 220--235, Recife, Brazil, 2013. SBC. [ bib ]
 
ObInject: a NoODMG Persistence and Indexing Framework for Object Injection. L. O. CARVALHO, T. F. P. SERAPHIM, C. TRAINA JR., and E. SERAPHIM. Journal of Information and Data Management, 4(3):220--235, 2013. [ bib ]
 
The NInA Framework - Using Gesture to Improve Interaction and Collaboration in Geographical Information Systems. Daniel Y. T. Chino, Luciana A. S. Romani, Letricia P. S. Avalhais, Willian D. Oliveira, Renata R. V. Gonçalves, Caetano Traina Jr., and Agma J. M. Traina. In Proceedings of the 15th International Conference on Enterprise Information Systems, pages 58--66, 2013. [ bib | DOI ]
 
The NInA Framework - Using Gesture to Improve Interaction and Collaboration in Geographical Information Systems. Daniel Yoshinobu Takada Chino, Luciana Alvim S. Romani, Letricia P. S. Avalhais, Willian Dener de Oliveira, Renata Ribeiro do Valle Gonçalves, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Slimane Hammoudi, Leszek A. Maciaszek, José Cordeiro, and Dietz Jan L. G., editors, 15th International Conference on Enterprise Information Systems - ICEIS 2013, volume 3, pages 58--66, Angers, France, 2013. SciTePress. [ bib ]
 
Data Mining in Large Sets of Complex Data. Robson Leonardo Ferreira Cordeiro, Christos Faloutsos, and Jr. Traina, Caetano. Springer Briefs in Computer Science. Springer, 2013. [ bib ]
 
Halite: Fast and Scalable Multi-Resolution Local-Correlation Clustering. Robson Leonardo Ferreira Cordeiro, Agma Juci Machado Traina, Christos Faloutsos, and Jr. Traina, Caetano. IEEE Transactions on Knowledge and Data Engineering (TKDE), 25(2):387--401, 2013. [ bib ]
 
Efficient Execution of Conjunctive Complex Queries on Big Multimedia Databases. Karina Fasolin, Renato Fileto, Marcelo Krugery, Daniel S. Kasterz, Monica R. P. Ferreirax, Robson L. F. Cordeirox, Agma J. M. Traina, and Caetano Traina. In IEEE International Symposium on Multimedia - ISM 2013, pages 536--543, Anaheim, CA, USA, 2013. IEEE Computer Society. [ bib ]
 
A ubiquitous reflective e-portfolio architecture. M Forte, W L Souza, R F Silva, A F Prado, and J Rodrigues. International Journal of Medical Informatics, 82(11):1111 -- 1122, 2013. [ bib | DOI | .pdf ]
Background: In nurse and in medicine courses, the use of reflective portfolios as a pedagogical tool is becoming a common practice; in the last years, this practice has gradually migrated from paper-based to electronic-based portfolios. Current approaches for reflective e-portfolios, however, do not widely operate at outdoor sites, where data networks are limited or nonexistent. Considering that many of the activities related to nurse and medicine courses relate to professional practices conducted in such conditions, these network shortcomings restrict the adoption of e-portfolios. Purpose: The present study describes the requirements specification, design, implementation, and evaluation of the Ubiquitous Reflective E-Portfolio Architecture, a solution proposed to support the development of systems based on mobile and wired access for both online and offline operation. Methods: We have implemented a prototype named Professional Practice Module to evaluate the Ubiquitous Reflective E-Portfolio Architecture; the module was based on requirements observed during the professional practice, the paper-based portfolio in use, and related learning meetings in the Medicine Course of a Brazilian University. The evaluation of the system was carried out with a learning group of 2nd year students of the medicine course, who answered to extensive evaluation questionnaires. Results: The prototype proved to be operational in the activities of the professional practice of the Medicine Course object of the study, including homework tasks, patient care, data sharing, and learning meetings. It also demonstrated to be versatile with respect to the availability of the computer network that, many times, was not accessible. Moreover, the students considered the module useful and easy to use, but pointed out difficulties about the keyboard and the display sizes of the netbook devices, and about their operational system. Lastly, most of the students declared preference for the electronic Professional Practice Module in internal and in group activities, and for the paper-based version while in patient attendance. Conclusions: There is evidence that the environment where the professional practice takes place influences the usage of the e-portfolio. Mobile devices were able to adequately support students in their professional practice; however, these devices present characteristics that must be judiciously selected, otherwise, they may limit the execution of important tasks. The main shortcoming identified during the evaluation tests was about the use of the module, and of the access device, during patient attendance. For this reason, we have envisioned a new version of the Professional Practice Module that shall follow a twofold requisite: by one side, it will include all the features of the module, to be used at the university or in the students’ homes; from the other side, it will include only the features that are essential for the practice of patient attendance.

 
Graph-based Relational Data Visualization. D Lima, J Rodrigues, and A Traina. In Proceedings of the 17th International Conference on Information Visualisation, pages 210--219. IEEE Press, 2013. [ bib | DOI | .pdf ]
Relational databases are rigid-structured data sources characterized by complex relationships among a set of relations (tables). Making sense of such relationships is a challenging problem because users must consider multiple relations, understand their ensemble of integrity constraints, interpret dozens of attributes, and draw complex SQL queries for each desired data exploration. In this scenario, we introduce a twofold methodology; we use a hierarchical graph representation to efficiently model the database relationships and, on top of it, we designed a visualization technique for rapidly relational exploration. Our results demonstrate that the exploration of databases is profoundly simplified as the user is able to visually browse the data with little or no knowledge about its structure, dismissing the need of complex SQL queries. We believe our findings will bring a novel paradigm in what concerns relational data comprehension.

 
Análise visual de dados relacionais: uma abordagem interativa suportada por teoria dos grafos. Daniel M Lima and Jose Rodrigues. Master's thesis, University of Sao Paulo, - Sao Carlos, SP, Brazil, 2013. [ bib | .pdf ]
 
Hierarchical graph techniques applied to Database Visualization (Técnicas de grafos hierárquicos aplicadas a Visualização de Bancos de Dados). Daniel Mario de Lima, Jose Rodrigues, and Agma J M Traina. In Proceedings of the 10th International Conference on Information Systems and Technology Management - CONTECSI, pages 1121--1139, 2013. [ bib | .pdf ]
Relational databases are rigid-structured data sources characterized by complex relationships among a set of relations (tables). Making sense of such relationships is a challenging problem because users must consider multiple relations, understand their ensemble of integrity constraints, interpret dozens of attributes, and draw complex SQL queries for each desired data exploration. In this scenario, we introduce a twofold methodology; we use a hierarchical graph representation to efficiently model the database relationships and, on top of it, we designed a visualization technique for rapidly relational exploration. Our results demonstrate that the exploration of databases is profoundly simplified as the user is able to visually browse the data with little or no knowledge about its structure, dismissing the need of complex SQL queries. We believe our findings will bring a novel paradigm in what concerns relational data comprehension.

 
Analysis of Large Scale Climate Data: How Well Climate Change Models and Data from Real Sensor Networks Agree? Santiago Augusto Nunes, Luciana Alvim S. Romani, Ana Ana Maria Heuminski de Ávila, Priscila P. Coltri, Jr. Traina, Caetano, Robson Leonardo Ferreira Cordeiro, Elaine Parros Machado de Sousa, and Agma Juci Machado Traina. In WWW 2013 Companion Publication, Large Scale Network Analysis (LSNA) Workshop, volume 2, pages 517--526, Rio de Janeiro-Brazil, 2013. ACM. [ bib ]
 
From Bag-of-Visual-Words to Bag-of-Visual-Phrases Using n-Grams. G. V. Pedrosa and A. J. M. Traina. In 2013 XXVI Conference on Graphics, Patterns and Images, pages 304--311, Aug 2013. [ bib ]
 
A New Concept of Sets to Handle Similarity in Databases: The SimSets. Ives Rene Venturini Pola, Robson Leonardo Ferreira Cordeiro, Jr. Traina, Caetano, and Agma juci Machado Traina. In Nieves Brisaboa, Oscar Pedreira, and Pavel Zezula, editors, International Conference on Similarity Search and Applications (SISAP'2013), volume 8199, pages 30--42, La Coruña, Spain, 2013. Springer Berlin-Heidelberg. [ bib ]
 
Large Graph Analysis in the GMine System. José Fernando Rodrigues Jr., Hanghang Tong, Jia-Yu Pan, Agma Juci Machado Traina, Jr. Traina, Caetano, and Christos Faloutsos. IEEE Transactions on Knowledge and Data Engineering (TKDE), 25(1):106--118, 2013. [ bib ]
 
Hierarchical Visual Filtering, pragmatic and epistemic actions for database visualization. Jose Rodrigues, Carlos E Cirilo, Luciana A M Zaina, and Antonio F Prado. In A C M Press, editor, Proceedings of the ACM Symposium on Applied Computing, pages 946--952. ACM Press, 2013. [ bib | DOI | .pdf ]
Visualization techniques of all sorts suffer from visual cluttering, the occlusion of visual information due to the overlap of graphical items, and from excessive complexity in analytical tasks due to multiple parallel perspectives drawn from the data at hand. To cope with these problems, we introduce Hierarchical Visual Filtering, a novel interaction principle that brings pragmatic and epistemic actions to visualization techniques. Pragmatic actions here mean that the analyst is able to visually select and filter information, determining visual configurations that reveal different perspectives of the data; epistemic actions mean that the analyst can record, annotate, and recall intermediate visualizations created over his pragmatic actions. To do so, we use a tree-like structure to keep multiple visualization workspaces linked according to the analytical decisions took by the user. Our goal is to promote an innovative systematization that can augment the potential for database visual inspection, and for visualization systems in general. It is our contention that Hierarchical Visual Filtering can inspire a novel scheme of visualization environments in which space limitations and complexity are treated by means of interactive tasks.

 
Aleijadinho 3D: tecnologia na difusão e preservação do patrimonio cultural. Jose Rodrigues, Mario Gazziro, Natalia M O Goncalves, Oscar Neto, Yvan Fernandes, Anaya Gimenes, Caio Alegre, and Romulo Assis. In Anais do VII SIMP: Convenção do Patrimonio Imaterial: 10 anos depois [2003-2013], pages 45--52. Universidade Federal de Pelotas, 2013. [ bib | .pdf ]
 
A New Time Series Mining Approach Applied to Multitemporal Remote Sensing Imagery. Luciana Alvim S. Romani, Ana Ana Maria Heuminski de Ávila, Daniel Yoshinobu Takada Chino, Jurandir Zullo Jr., Richard Chbeir, Jr. Traina, Caetano, and Agma Juci Machado Traina. IEEE Transactions on Geoscience and Remote Sensing, 51(1):140--150, 2013. [ bib ]
 
Involving users in the gestural language definition process for the NInA framework. Luciana A. S. Romani, Daniel Yoshinobu Takada Chino, Letricia P. S. Avalhais, Willian Dener de Oliveira, Renata Ribeiro do Valle Gonçalves, Caetano Traina Jr, and Agma Juci Machado Traina. In 12th Brazilian Symposium on Human Factors in Computing Systems, pages 280--283, Manaus-AM, Brazil, 2013. Brazilian Computer Society. [ bib ]
 
Evaluating the Diversification of Similarity Query Results. Lúcio Fernandes Dutra Santos, Willian Dener de Oliveira, Mônica Ribeiro Porto Ferreira, Robson Leonardo Ferreira Cordeiro, Agma Juci Machado Traina, and Jr. Traina, Caetano. Journal of Information and Data Management, 4(3):188--203, 2013. [ bib ]
 
Parameter-free and Domain-independent Similarity Search with Diversity. Lúcio Fernandes Dutra Santos, Willian Dener de Oliveira, Monica Ribeiro Porto Ferreira, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Alex Szalay, Tamas Budavari, Magdalena Balazinska, Alexandra Meliou, and Ahmet Sacan, editors, 25th International Conference on Scientific and Statistical Database Management - SSDBM'2013, pages 5--16, Baltimore, MD, USA, 2013. ACM. [ bib ]
 
A Differential Method for Representing Spinal MRI for Perceptual-CBIR. Marcelo Ponciano da Silva, Pedro Henrique Bugatti, Rafael M. Reis, Paulo Mazzoncini de Azevedo Marques, Marcello H. Nogueira Barbosa, Jr. Traina, Caetano, and Agma Juci Machado Traina. In José Ruiz-Shulcloper and Gabriella Sanniti di Baja, editors, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP), volume 8258 of Lecture Notes in Computer Science, pages 464--471, Havana, Cuba, 2013. Springer Verlag. [ bib ]
 
Does a CBIR system really impact decisions of physicians in a clinical environment? Marcelo Ponciano da Silva, Elaine Parros Machado de Sousa, Pedro Henrique Bugatti, Marcos Vinicius Naves Bedo, Daniel dos Santos Kaster, R.T.V. Braga, A.D. Bellucci, Paulo Mazzoncini de Azevedo Marques, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Pedro Pereira Rodrigues, Mykola Pechenizkiy, João Gama, Ricardo Cruz-Correia, Jiming Liu, Agma Juci Machado Traina, Peter J. F. Lucas, and Paolo Soda, editors, IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), pages 41--46. IEEE Computer Society, 2013. [ bib ]
 
The Images and Data Bases Group at University of São Paulo. Agma Juci Machado Traina, Jr. Traina, Caetano, Cristina Dutra de Aguiar Ciferri, Elaine Parros Machado de Sousa, and Robson Leonardo Ferreira Cordeiro. Journal of Information and Data Management, 4(1):2--16, 2013. [ bib ]
 
Colaboração logistica entre cliente e fornecedor: uma aplicação de análise visual de dados. Jose G V Vieira, Jose Rodrigues, and Ricardo H Hattori. Sistemas e Gestão, 8(1):2--18, 2013. Open Journal Systems, ISSN 1980-5160. [ bib | http ]
 
Image retrieval employing genetic dissimilarity weighting and feature space transformation functions. L P S Avalhais, S F da Silva, Jose Rodrigues, and A J M Traina. In Proceedings of the 27th Annual ACM Symposium on Applied Computing, pages 1012--1017. ACM Press, 2012. [ bib | DOI | .pdf ]
 
Feature Space Optimization for Content-Based Image Retrieval. L P S Avalhais, S F Silva, Jose Rodrigues, A J M Traina, and C Traina Jr. ACM SIGAPP Applied Computing Review, 12(3):7--19, 2012. [ bib | DOI | .pdf ]
 
Smart Histogram Analysis Applied to the Skull-stripping Problem in T1-weighted MRI. André Guilherme Ribeiro Balan, Agma Juci Machado Traina, Marcela Xavier Ribeiro, Paulo Mazzoncini de Azevedo Marques, and Jr. Traina, Caetano. Computers in Biology and Medicine, 42(5):509--522, 2012. [ bib ]
 
Time Series Indexing Taking Advantage of the Generalized Suffix Tree. Daniel Yoshinobu Takada Chino, Felipe Alves de Louza, Agma Juci Machado Traina, Cristina Dutra de Aguiar Ciferri, and Jr. Traina, Caetano. Journal of Information and Data Management (JIDM), 3(2):101--109, 2012. [ bib ]
 
Towards a Hybrid Approach for adapting Web Graphical User Interfaces to Heterogeneous Devices using Context. Carlos E Cirilo, Antonio F Prado, Wanderley L Souza, Luciana A M Zaina, and Jose Rodrigues. International Journal of Software Engineering and Knowledge Engineering, 22(6):769--800, 2012. [ bib | DOI | .pdf ]
Ubiquitous Computing promises seamless access to a wide range of applications and Internet-based services from anywhere, at any time, and using any device. In this scenario, new challenges for the practice of software development arise: Applications and services must keep a coherent behavior, a proper appearance, and must adapt to a plenty of contextual usage requirements and hardware aspects. Especially, due to its interactive nature, the interface content of Web applications must adapt to a large diversity of devices and contexts. In order to overcome such obstacles, this work introduces an innovative methodology for content adaptation of Web 2.0 interfaces. The basis of our work is to combine static adaption — the implementation of static Web interfaces; and dynamic adaptation — the alteration, during execution time, of static interfaces so as for adapting to different contexts of use. In hybrid fashion, our methodology benefits from the advantages of both adaptation strategies — static and dynamic. In this line, we designed and implemented UbiCon, a framework over which we tested our concepts through a case study and through a development experiment. Our results show that the hybrid methodology over UbiCon leads to broader and more accessible interfaces, and to faster and less costly software development. We believe that the UbiCon hybrid methodology can foster more efficient and accurate interface engineering in the industry and in the academy.

 
An Efficient Algorithm for Fractal Analysis of Textures. Alceu Ferraz Costa, Gabriel Humpire-Mamani, and Agma Juci Machado Traina. In Conference on Graphics, Patterns and Images (SIBGRAPI), pages 39--46, Ouro Petro, MG, Brazil, 2012. [ bib ]
 
FSCoMS: Feature Selection of Medical Images Based on Compactness Measure from Scatterplots. Gabriel Efrain Humpire Mamani, Agma Juci Machado Traina, and Jr. Traina, Caetano. In , 2nd Annual IEEE Healthcare Informatics, Imaging, and Systems Biology Conference (HISB 2012, pages 86--95, La Joia, California, 2012. [ bib ]
 
k-Gabor: A New Feature Extraction Method for Medical Images Providing Internal Analysis. Gabriel Efrain Humpire Mamani, Jr. Traina, Caetano, and Agma Juci Machado Traina. In 25th IEEE International Symposium on Computer Based Medical Systems (CBMS 2012), pages 1--6, Roma, Itália, 2012. [ bib ]
 
Reducing the Dimensionality of the SIFT Descriptor and Increasing Its Effectiveness and Efficiency in Image Retrieval via Bag-of-features. Glauco Vitor Pedrosa, Solange Oliveira Rezende, and Agma Juci Machado Traina. In Proceedings of the 18th Brazilian Symposium on Multimedia and the Web, WebMedia '12, pages 139--142, 2012. [ bib | DOI ]
 
Challenges for Users and Designers in the Design Process of a Satellite Images Handling System. Luciana A. S. Romani, Renata R. V. Gonçalves, Daniel Y. T. Chino, and Agma J. M. Traina. In Companion Proceedings of the 11th Brazilian Symposium on Human Factors in Computing Systems, IHC '12, pages 13--16, Porto Alegre, Brazil, Brazil, 2012. Brazilian Computer Society. [ bib | http ]
 
H-Metric: Characterizing Image Datasets via Homogenization Based on Knn-Queries. W M Silva, Jose Rodrigues, A J M Traina, and S F da Silva. Data Science Journal, 10:52--60, 2012. [ bib | DOI | .pdf ]
Precision-Recall is one of the main metrics for evaluating content-based image retrieval techniques. However, it does not provide an ample perception of the properties of an image dataset immersed in a metric space. In this work, we describe an alternative metric named H-Metric, which is determined along a sequence of controlled modifications in the image dataset. The process is named homogenization and works by altering the homogeneity characteristics of the classes of the images. The result is a process that measures how hard it is to deal with a set of images in respect to content-based retrieval, offering support in the task of analyzing configurations of distance functions and of features extractors.

 
A CAD System Based on Complex Networks Theory to Characterize Mass in Mammograms. Carolina Yukari Veludo Watanabe, Jonathan S. Ramos, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Bram van Ginneken and Carol L. Novak, editors, SPIE Medical Imaging 2012 (Proc. SPIE 8315, 831522 (2012) ), pages 1--11, San Diego, CA, 2012. [ bib ]
 
A Statistical Associative Classifier with Automatic Estimation of Parameters for Computer Aided Diagnosis. Carolina Yukari Veludo Watanabe, Marcela Xavier Ribeiro, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 11th International Conference on Machine Learning and Applications (ICMLA 2012), pages 564--567, Boca Raton, Florida, USA, 2012. [ bib ]
 
e-LORS: Uma Abordagem para Recomendação de Objetos de Aprendizagem. L A M Zaina, G Bressan, M A A C Cardieri, and Jose Rodrigues. Revista Brasileira de Informática na Educação, 20(1):4--16, 2012. [ bib | DOI | http ]
 
Graph Mining Techniques: Focusing on discriminating between real and synthetic graphs. Ana Paula Appel, Christos Faloutsos, and Jr. Traina, Caetano. In Sherif Sakr and Eric Pardede, editors, Graph Data Management: Techniques and Applications, volume 1, pages 239--259. IGI Global, 2011. [ bib ]
 
The Similarity Cloud Model: A novel and efficient hippocampus segmentation technique. Fredy Edgar Carranza Atho, Agma Juci Machado Traina, Jr. Traina, Caetano, Paula R.B. Diniz, and Antonio Carlos dos Santos. In IEEE Computer-Based Medical Systems (CBMS), pages 1--6, 2011. [ bib ]
 
Efficient Processing of Drill-across Queries over Geographic Data Warehouses. Jaqueline Joice Brito, Thiago Luís Lopes Siqueira, Valéria Cesário Times, Ricardo Rodrigues Ciferri, and Cristina Dutra de Aguiar Ciferri. In Proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery (DaWak 2011), pages 152--166, 2011. [ bib | DOI ]
 
Integrating user profile in medical CBIR systems to answer perceptual similarity queries. Pedro Henrique Bugatti, Daniel dos Santos Kaster, Marcelo Ponciano da Silva, Agma Juci Machado Traina, and Jr. Traina, Caetano. In SPIE Medical Imaging 2011 (SPIE-MI 2011, Proc. SPIE 7963, 79630Q (2011), Orlando, FL, EUA, 2011. [ bib ]
 
Feature Selection Guided by Perception in Medical CBIR Systems. Pedro Henrique Bugatti, Marcela Xavier Ribeiro, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Aziz Boxwala, Xue-wen Chen, James S. Duncan, Satoru Miyano, and Tanveer Syeda-Mahmood, editors, 2011 First IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, pages 323--330, San Jose, CA - USA, 2011. IEEE Computer Society. [ bib ]
 
Improving content-based retrieval of medical images through dynamic distance on relevance feedback. Pedro Henrique Bugatti, Agma Juci Machado Traina, and Jr. Traina, Caetano. In International Symposium on Computer-Based Medical Systems (CBMS 2011), pages 1--6, Bristok, UK, 2011. IEEE Computer Society. [ bib ]
 
Slicing the metric space to provide quick indexing of complex data in the main memory. Caio Cesar Mori Carelo, Ives Rene Venturini Pola, Ricardo Rodrigues Ciferri, Agma Juci Machado Traina, Jr. Traina, Caetano, and Cristina Dutra de Aguiar Ciferri. Information Systems Journal (ISJ), 36(1):79--98, 2011. [ bib ]
 
SatImagExplorer: tornando a mineração de dados de sensores orbitais mais flexível. Daniel Yoshinobu Takada Chino, Bruno F. Amaral, Luciana Alvim S. Romani, Elaine Parros Machado de Sousa, and Agma Juci Machado Traina. In VIII Sessão de Demos do Simpósio Brasileiro de Banco de Dados, volume 1, pages 1--6, Florianópolis, SC, 2011. SBC. [ bib ]
 
SatImagExplorer: tornando a mineração de dados de sensores orbitais mais flexível. Daniel Yoshinobu Takada Chino, Felipe Alves Louza, Agma Juci Machado Traina, Cristina Dutra Aguiar Ciferri, and Caetano Traina Jr. In Anais da Sessão de Demos do XXVI Simpósio Brasileiro de Banco de Dados (SBBD)., pages 25--30, Florianopolis, Brazil, 2011. [ bib ]
 
Telesto: Indexação de séries temporais por meio de árvores de sufixo generalizadas. Daniel Yoshinobu Takada Chino, Felipe Alves de Louza, Agma Juci Machado Traina, Cristina Dutra de Aguiar Ciferri, and Jr. Traina, Caetano. In XXVI Simpósio Brasileiro de Banco de Dados, volume 1, pages 41--48, Florianópolis, SC, 2011. SBC. [ bib ]
 
Clustering Very Large Multi-dimensional Datasets with MapReduce. Robson Leonardo Ferreira Cordeiro, Agma Juci Machado Traina, Jr. Traina, Caetano, Julio López, U Kang, and Christos Faloutsos. In Chidanand Apté, Joydeep Ghosh, and Padhraic Smyth, editors, ACM SIGKDD-2011 - Internl Conf. On Knoledge Discovery and Datamining, pages 690--698, San Diego, CA, USA, 2011. ACM Press. [ bib ]
 
Fast Fractal Stack: Fractal Analysis of Computed Tomography Scans of the Lung. Alceu Ferraz Costa, Joe Tekli, and Agma Juci Machado Traina. In International ACM Workshop on Medical Multimedia Analysis and Retrieval, pages 13--18, Scottsdale, AZ, USA, 2011. ACM. [ bib ]
 
Algebraic Properties to Optimize kNN Queries. Mônica Ribeiro Porto Ferreira, Lúcio Fernandes Dutra Santos, Agma Juci Machado Traina, Ires Dias, Richard Chbeir, and Jr. Traina, Caetano. Journal of Information and Data Management - JIDM, 2(3):385--400, 2011. [ bib ]
 
MedFMI-SiR: A Powerful DBMS Solution for Large-scale Medical Image Retrieval. Daniel dos Santos Kaster, Pedro Henrique Bugatti, Marcelo Ponciano da Silva, Agma Juci Machado Traina, Paulo Mazzoncini de Azevedo Marques, and Jr. Traina, Caetano. In Christian Böhm, editor, 2nd International Conference on Information Technology in Bio- and Medical Informatics (ITBAM 2011 ), Lecture Notes in Computer Science (LNCS), pages 16--30, Toulouse, France, 2011. Springer Verlag. [ bib ]
 
Nearest Neighbor Queries with Counting Aggregate-based Conditions. Daniel dos Santos Kaster, Willian Dener de Oliveira, Renato Bueno, Agma Juci Machado Traina, and Jr. Traina, Caetano. Journal of Information and Data Management - JIDM, 2(3):401--416, 2011. [ bib ]
 
The digital library of historical cartography of the University of Sao Paulo. Rogerio Toshiaki Kondo, Maria de Lourdes Rebucci Lirani, Anderson Canale Garcia, Iris Kantor, and Jr. Traina, Caetano. In Glen Newton, Michael Wright, and Lillian N. Cassel, editors, Joint International Conference on Digital Libraries, JCDL 2011, pages 467--468, Ottawa, ON, Canada,, 2011. ACM. [ bib ]
 
Fractal-based Analysis to Identify Trend Changes in Multiple Climate Time Series. Santiago Augusto Nunes, Luciana Alvim S. Romani, Ana Ana Maria Heuminski de Ávila, Jr. Traina, Caetano, Elaine Parros Machado de Sousa, and Agma Juci Machado Traina. Journal of Information and Data Management - JIDM, 2(1):51--57, 2011. [ bib ]
 
Using Pivots to Speed-Up k-Medoid Clustering. Adriano Arantes Paterlini, Mario Antonio Nascimento, and Jr. Traina, Caetano. Journal of Information and Data Management - JIDM, 2(2):221--236, 2011. [ bib ]
 
DivDB: Incluindo Diversidade em Consultas por Similaridade. Humberto Luís Razente, Maria Camila Nardini Barioni, Marcos Rodrigues Vieira, Divesh Srivastava, Marios Hadjieleftheriou, Vassilis J. Tsotras, and Jr. Traina, Caetano. In Agma Juci Machado Traina and José Fernando Rodrigues Jr., editors, VIII Sessão de Demos do Simpósio Brasileiro de Banco de Dados, volume 1, pages 55--60, Florianópolis, SC, 2011. SBC. [ bib ]
 
Conhecendo um pouco do fenomeno de cyberbullying. Jose Rodrigues and L A M Zaina. SBC Horizontes, 4(3):52--55, 2011. [ bib | .pdf ]
 
Clustering analysis applied to NDVI/NOAA multitemporal images to improve the monitoring process of sugarcane crops. Luciana Alvim S. Romani, Renata R. V. Gonçalves, Bruno F. Amaral, Daniel Yoshinobu Takada Chino, Jurandir Zullo Jr., Jr. Traina, Caetano, Elaine Parros Machado de Sousa, and Agma Juci Machado Traina. In Sixth International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp-2011), pages 1--4, Trento, Italy, 2011. [ bib ]
 
Paged similarity queries. Enzo Seraphim, Thatyana F. Piola Seraphim, Edmilson M. Moreira, Fábio C.M. Ricotta, and Jr. Traina, Caetano. Information Sciences, 181(13):2600--2607, 2011. [ bib ]
 
Improving the ranking quality of medical image retrieval using a genetic feature selection method. Sérgio Francisco da Silva, Marcela Xavier Ribeiro, João do Espirito Santo Batista Neto, Jr. Traina, Caetano, and Agma Juci Machado Traina. Decision Support Systems, 51(4):810--820, 2011. [ bib ]
 
Análise comparativa de técnicas para armazenagem de dados passíveis de consultas por similaridade. Pedro Lópes de Souza and Jr. Traina, Caetano. In X Workshop de Teses e Dissertações de Banco de Dados - WTDBD, volume 1, pages 69--74, Florianópolis, SC, 2011. SBC. [ bib ]
 
XML document-grammar comparison: Related problems and applications. Joe Tekli, Richard Chbeir, Agma Juci Machado Traina, and Jr. Traina, Caetano. Central European Journal of Computer Science, 1(1):117--136, 2011. [ bib ]
 
Issues and Techniques to Mitigate the Performance Gap in Content-Based Image Retrieval Systems. Agma Juci Machado Traina, Jr. Traina, Caetano, Robson L. F. Cordeiro, Marcela Xavier Ribeiro, and Paulo M. Azevedo-Marques. In New Technologies for Advancing Healthcare and Clinical Practices, volume 1, pages 60--83. IGI Global, Hershey, 2011. [ bib ]
 
DivDB: A System for Diversifying Query Results. Marcos Rodrigues Vieira, Humberto Luís Razente, Maria Camila Nardini Barioni, Marios Hadjieleftheriou, Divesh Srivastava, Jr. Traina, Caetano, and Vassilis J. Tsotras. Proceedings of the VLDB Endowment, 4(12):1395--1398, 2011. [ bib ]
 
On Query Result Diversification. Marcos Rodrigues Vieira, Humberto Luís Razente, Maria Camila Nardini Barioni, Marios Hadjieleftheriou, Divesh Srivastava, Jr. Traina, Caetano, and Vassilis J. Tsotras. In 27th IEEE International Conference on Data Engineering (ICDE), pages 1163--1174, Hannover, Germany, 2011. [ bib ]
 
Learning Profile Identification Based on the Analysis of the User s Context of Interaction. L A M Zaina, G Bressan, J Rodrigues, and M A C A Cardieri. IEEE Latin America Transactions, 9(5):845--850, 2011. [ bib | DOI | .pdf ]
One of the e-learning environment goals is to attend the individual needs of students during the learning process. The adaptation of contents, activities and tools into different visualization or in a variety of content types is an important feature of this environment, bringing to the user the sensation that there are suitable workplaces to his profile in the same system. Nevertheless, it is important the investigation of student behavior aspects, considering the context where the interaction happens, to achieve a efficient personalization process. The paper goal is to present an approach to identify the student learning profile analyzing the context of interaction. Besides this, the learning profile could be analyzed in different dimensions allows the system to deal with the different focus of the learning.

 
Adaptive learning in the educational e LORS system: an approach based on preference categories. L A M Zaina, Jose Rodrigues, M A C D A Cardieri, and G Bressan. International Journal of Learning Technology, 6(4):341--361, 2011. [ bib | DOI | .pdf ]
 
RDBMS as an Efficient Tool to Mine Cliques on Complex Networks. Ana Paula Appel, Adriano Arantes Paterlini, and Jr. Traina, Caetano. Journal of Information and Data Management - JIDM, 1(3):407--422, 2010. [ bib ]
 
Querying Multimedia Data by Similarity in Relational DBMS. Maria Camila Nardini Barioni, Daniel dos Santos Kaster, Humberto Luís Razente, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Li Yan and Zongmin Ma, editors, Advanced Database Query Systems: Techniques, Applications and Technologies, pages 323--359. IGI Global, Hershey, NY, USA, 2010. [ bib ]
 
Artemis: Biblioteca para manipulação e extração de características de imagens. Marcos Vinicius Naves Bedo and Jr. Traina, Caetano. In XVIII Congresso de Iniciação Científica da UFSCar, volume 6, pages 18--18, Sã Carlos - SP, 2010. [ bib ]
 
Metric data analysis enhanced through temporal visualization. Renato Bueno, Daniel dos Santos Kaster, Maria Camila Nardini Barioni, Humberto Luís Razente, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Ebad Banissi, Stefan Bertschi, Remo Aslak Burkhard, John Counsell, Mohammad Dastbaz, Martin J. Eppler, Camilla Forsell, Georges G. Grinstein, Jimmy Johansson, Mikael Jern, Farzad Khosrowshahi, Francis T. Marchese, Carsten Maple, Richard Laing, Urska Cvek, Marjan Trutschl, Muhammad Sarfraz, Liz J. Stuart, Anna Ursyn, and Theodor G. Wyeld, editors, 14th International Conference Information Visualisation - IV'10, pages 116--121, London, UK, 2010. IEEE Computer Society. [ bib ]
 
Improving Medical Image Retrieval through Multi-Descriptor Similarity Functions and Association Rules. Renato Bueno, Marcela Xavier Ribeiro, Agma Juci Machado Traina, and Jr. Traina, Caetano. In International Symposium on Computer-Based Medical Systems (CBMS 2010), pages 1--6, Perth, Australia, 2010. IEEE Computer Society. [ bib ]
 
Construindo Séries Temporais de Imagens de Satélite para Sumarização de Dados Climáticos e Monitoramento de Safras Agrícolas. Daniel Yoshinobu Takada Chino, Luciana Alvim S. Romani, Jr. Traina, Caetano, and Agma Juci Machado Traina. Revista Eletrônica de Iniciação Científica (REIC), 10(3):1--20, 2010. [ bib ]
 
Biblioteca Digital de Trabalhos Acadêmicos da Universidade de São Paulo: Desenvolvimento e Implementação na EESC/USP. Teresinha das Graças Colleta, Lúcia Semensato Zanetti, Flávia Helena Cassin, Manoel Rodrigues Alves, Maria de Lourdes Rebucci Lirani, Rogerio Toshiaki Kondo, and Jr. Traina, Caetano. In Paula Maria Abrantes Cotta de Mello, editor, XVI Seminário Nacional das Bibliotecas Universitárias II Seminário Internacional de Bibliotecas Digitais - Brasil, pages 1--12, Sã Conrado - RJ, 2010. [ bib ]
 
QMAS: Querying, Mining And Summarization of Multi-modal Databases. Robson Leonardo Ferreira Cordeiro, Fan Guo, Donna S. Haverkamp, James H. Horne, Ellen K. Hughes, Gunhee Kim, Agma Juci Machado Traina, Jr. Traina, Caetano, and Christos Faloutsos. In Chengqi Zhang, Dimitrios Gunopulos, Geoff Webb, and Bing Liu, editors, 10th IEEE International Conference on Data Mining, pages 785 -- 790, Sydney, NSW , Australia, 2010. IEEE Computer Society. [ bib ]
 
Finding Clusters in Subspaces of Very Large, Multi-dimensional Datasets. Robson Leonardo Ferreira Cordeiro, Agma Juci Machado Traina, Christos Faloutsos, and Jr. Traina, Caetano. In Umeshwar Dayal and Vassilis J. Tsotras, editors, 26th IEEE International Conference on Data Engineering (ICDE 2010), pages 625--636, Long Beach, California, 2010. IEEE Computer Society. [ bib ]
 
Adding Knowledge Extracted by Association Rules into Similarity Queries. Mônica Ribeiro Porto Ferreira, Marcela Xavier Ribeiro, Agma Juci Machado Traina, Richard Chbeir, and Jr. Traina, Caetano. Journal of Information and Data Management - JIDM, 1(3):391--406, 2010. [ bib ]
 
Integrating User Preference to Similarity Queries over Medical Images Datasets. Mônica Ribeiro Porto Ferreira, Marcelo Ponciano da Silva, Agma Juci Machado Traina, Jr. Traina, Caetano, Sandra Aparecida de Amo, Fabíola S.F. Pereira, and Richard Chbeir. In International Symposium on Computer-Based Medical Systems (CBMS 2010), pages 1--6, Perth, Australia, 2010. IEEE Computer Society. [ bib ]
 
A New Feature Descriptor Derived From Hilbert Space-Filling Curve to Assist Breast Cancer Classification. Denise Guliato, Walter Alexandre Alencar de Oliveira, and Jr. Traina, Caetano. In International Symposium on Computer-Based Medical Systems (CBMS 2010), pages 1--6, Perth, Australia, 2010. IEEE Computer Society. [ bib ]
 
FMI-SiR: A Flexible and Efficient Module for Similarity Searching on Oracle Database. Daniel dos Santos Kaster, Pedro Henrique Bugatti, Agma Juci Machado Traina, and Jr. Traina, Caetano. Journal of Information and Data Management - JIDM, 1(2):229--244, 2010. [ bib ]
 
Análise baseada em Fractais para Identificação de Mudanças de Tendências em Múltiplas Séries Climáticas. Santiago Augusto Nunes, Luciana Alvim S. Romani, Ana Ana Maria Heuminski de Ávila, Jr. Traina, Caetano, Elaine Parros Machado de Sousa, and Agma Juci Machado Traina. In 25º Simpósio Brasileiro de Bases de Dados (SBBD´2010) - Short Papers, volume 1, page 8 pag., Belo Horizonte, MG, 2010. SBC. [ bib ]
 
Inovação: da Academia à Sociedade. Jose Rodrigues and A Alvaro. SBC Horizontes, 3:23--27, 2010. [ bib | .pdf ]
 
Combining Visual Analytics and Content Based Data Retrieval Technology for Efficient Data Analysis. Jose Rodrigues, Luciana A S Romani, Agma Juci Machado Traina, and Caetano Traina Jr. In 14th International Conference on Information Visualisation (IV), pages 61--67. IEEE Press, 2010. [ bib | DOI | .pdf ]
 
Detecting Extreme in Climate Time Series Using Data Mining Techniques. Luciana Alvim S. Romani, Ana Ana Maria Heuminski de Ávila, Jr. Traina, Caetano, and Agma Juci Machado Traina. In III Simpósio Internacional de Climatologia, page 6 pags., Canela, RS - Brazil, 2010. [ bib ]
 
Mining Relevant and Extreme Patterns on Climate Time Series with CLIPSMiner. Luciana Alvim S. Romani, Ana Maria Heuminski de Ávila, Bruno F. Amaral, Jurandir Zullo Jr., Jr. Traina, Caetano, and Agma Juci Machado Traina. Journal of Information and Data Management - JIDM, 1(2):245--260, 2010. [ bib ]
 
Mining Climate and Remote Sensing Time Series to Improve Monitoring of Sugar Cane Fields. Luciana Alvim S. Romani, Elaine Parros Machado de Sousa, Marcela Xavier Ribeiro, Ana Ana Maria Heuminski de Ávila, Jurandir Zullo Jr., Jr. Traina, Caetano, and Agma Juci Machado Traina. In Hércules Antonio do Prado, Alfredo José Barreto Luiz, and Homero Chaib Filho, editors, Computational Methods Applied to Agricultural Research: Advances and Applications. Springer Verlag, 2010. [ bib ]
 
CLEARMiner: A New Algorithm for Mining Association Patterns on Heterogenous Time Series from Climate Data. Luciana Alvim S. Romani, Agma Juci Machado Traina, Jr. Traina, Caetano, Richard Chbeir, Ana Ana Maria Heuminski de Ávila, and Jurandir Zullo Jr. In 25th ACM Symposium on Applied Computing (SAC 2010), pages 1--6, Sierre - Suiça, 2010. ACM Press. [ bib ]
 
New DTW-based method to similarity search in sugar cane regions represented by climate and remote sensing time series. Luciana Alvim S. Romani, Agma Juci Machado Traina, Jr. Traina, Caetano, Richard Chbeir, Ana Ana Maria Heuminski de Ávila, and Jurandir Zullo Jr. In 10th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010), pp. 4 pags, 25-30 de julho de 2010, Honolulu, USA, pages 25--30, Honolulu, USA, 2010. [ bib ]
 
Silhouette-based feature selection for classification of medical images. Sérgio Francisco da Silva, Bruno Brandoli, Danilo Medeiros Eler, João do Espirito Santo Batista Neto, and Agma Juci Machado Traina. In International Symposium on Computer-Based Medical Systems (CBMS 2010), pages 1--6, Perth, Australia, 2010. IEEE Computer Society. [ bib ]
 
H-Metric: Uma metrica para a caracterizaçao de conjuntos de imagens via homogeneizacao baseada em consultas KNN. W M Silva and Jose Rodrigues. In SIBGRAPI 2010 – Workshop of Undergraduate Works, volume 1, pages 1--6, 2010. [ bib | .pdf ]
 
How to Find Relevant Patterns in Climate Data: an Efficient and Effective Framework to Mine Climate Time Series and Remote Sensing Images. Agma Juci Machado Traina, Luciana Alvim S. Romani, Robson Leonardo Ferreira Cordeiro, Elaine Parros Machado de Sousa, Marcela Xavier Ribeiro, Ana Ana Maria Heuminski de Ávila, Jurandir Zullo Jr., José Fernando Rodrigues Jr., and Jr. Traina, Caetano. In Barbara Lee Keyfitz and Lloyd N. Trefethen, editors, SIAM Annual Meeting 2010, page 6 pags., Pittsburgh, PA, 2010. SIAM. [ bib ]
 
Feature Extraction and Selection for Decision Making over Medical Images. Agma Juci Machado Traina, Jr. Traina, Caetano, André Guilherme Ribeiro Balan, Marcela Xavier Ribeiro, Pedro Henrique Bugatti, Carolina Yukari Veludo Watanabe, and Paulo Mazzoncini de Azevedo Marques. In Thomas M. Deserno, editor, Biomedical Image Processing - Methods and Applications, pages 197--223. Springer-Verlag, 2010. [ bib ]
 
Fast Feature Selection using Fractal Dimension - Ten Years Later. Jr. Traina, Caetano, Agma Juci Machado Traina, Leejay Wu, and Christos Faloutsos. Journal of Information and Data Management - JIDM, 1(1):17--20, 2010. [ bib ]
 
Efficient Bulk-loading on Dynamic Metric Access Methods. Thiago Galbiatti Vespa, Agma Juci Machado Traina, and Jr. Traina, Caetano. Information Systems Journal (ISJ), 35(5):557--569, 2010. [ bib ]
 
MAMView: A Framework for Visualization of Metric Trees. Marcos Rodrigues Vieira, Fábio Jun Takada Chino, Jr. Traina, Caetano, and Agma Juci Machado Traina. In 25º Simpósio Brasileiro de Bases de Dados (SBBD´2010) - Demo paper, volume 1, page 4 pag., Belo Horizonte, MG, 2010. SBC. [ bib ]
 
A visual framework to understand similarity queries and explore data in Metric Access Methods. Marcos Rodrigues Vieira, Fábio Jun Takada Chino, Jr. Traina, Caetano, and Agma Juci Machado Traina. Int. J. Business Intelligence and Data Mining, 5(4):370--387, 2010. [ bib ]
 
DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data. Marcos Rodrigues Vieira, Jr. Traina, Caetano, Fábio Jun Takada Chino, and Agma Juci Machado Traina. Journal of Information and Data Management - JIDM, 1(1):111--128, 2010. [ bib ]
 
Revisiting the DBM-Tree. Marcos Rodrigues Vieira, Jr. Traina, Caetano, Fábio Jun Takada Chino, and Agma Juci Machado Traina. Journal of Information and Data Management - JIDM, 1(1):129--132, 2010. [ bib ]
 
Statistical Associative Classification of Mammograms: The SACMiner Method". Carolina Yukari Veludo Watanabe, Agma Juci Machado Traina, Marcela Xavier Ribeiro, João do Espírito Santo Batista Neto, and Jr. Traina, Caetano. In Joaquim Filipe and José Cordeiro, editors, 12th International Conference on Enterprise Information Systems (ICEIS 2010), volume 2, AIDSS, pages 121--128, Funchal, Madeira, Portugal, 2010. SciTePress. [ bib ]
 
SACMiner: A New Classification Method Based on Statistical Association Rules to Mine Medical Images. Carolina Yukari Veludo Watanabe, Agma Juci Machado Traina, Marcela Xavier Ribeiro, João do Espírito Santo Batista Neto, and Jr. Traina, Caetano. In Joaquim Filipe and José Cordeiro, editors, 12th International Conference on Enterprise Information Systems (ICEIS 2010), volume 73 Revised Selected Papers. of Lecture Notes in Business Information Processing, pages 249--263, Funchal, Madeira, Portugal, 2010. Springer. [ bib ]
 
An approach to design the student interaction based on the recommendation of e-learning objects. Luciana A M Zaina, Jose Rodrigues, and Graca Bressan. In Proceedings of the 28th ACM International Conference on Design of Communication, pages 223--228. ACM Press, 2010. [ bib | DOI | .pdf ]
In the last years, the adoption of recommender systems for improving user interaction has increased in e-learning applications. In the educational area, the recommendation of relevant and interesting content can attract the student’s attention, motivating her/him during the learning-teaching process. It is very important, thus, to know learner preferences to suggest suitable contents to the students. The goal of this work is to present an approach to design the student interaction based on the recommendation of e-learning content, determining a more suitable relationship between learning objects and learning profiles. In our proposal, the learning profile is split into categories to attend different student preferences during the teaching-learning process: perception, presentation-format and participation. Our recommendation uses these categories to filter out the most suitable learning objects organized according to the IEEE LOM standard. We present a prototype architecture named e-LORS, over which we perform demonstrative experiments.

 
Uma abordagem para recomendação de objetos de aprendizagem em ambientes educacionais. L Zaina, G Bressan, Jose Rodrigues, and M A Cardieri. Revista de Computação e Tecnologia da PUC-SP, 2(1):23--32, 2010. [ bib | http ]
 
Seamlessly Integrating Similarity Queries in SQL. Maria Camila Nardini Barioni, Humberto Luís Razente, Agma Juci Machado Traina, and Jr. Traina, Caetano. Software: Practice and Experience, 39(4):355--384, 2009. [ bib ]
 
Unsupervised Scaling of Multi-Descriptor Similarity Functions for Medical Image Datasets. Renato Bueno, Daniel dos Santos Kaster, Adriano Arantes Paterlini, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 22th IEEE Intl. Symposium on Computer-Based Medical Systems (CBMS 2009), page 8 p., Albuquerque, NM, EUA, 2009. IEEE Computer Society. [ bib ]
 
Time-aware Similarity Search: a Metric-Temporal Representation for Complex Data. Renato Bueno, Daniel dos Santos Kaster, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Nikos Mamoulis, Thomas Seidl, Torben Bach Pedersen, Kristian Torp, and Ira Assent, editors, 11th International Symposium on Advances in Spatial and Temporal Databases (SSTD 2009), pages 302--319, Aalborg, Denmark, 2009. Springer. [ bib ]
 
Visualization of Metric Data Evolution. Renato Bueno, Humberto Luís Razente, Maria Camila Nardini Barioni, Daniel dos Santos Kaster, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 13th International Conference on Information Visualization - Showcase (IV09), volume Book of Abstracts of 13th ICIV, page 55, Barcelona, Spain, 2009. [ bib ]
 
Content-Based Retrieval of Medical Images: from Context to Perception. Pedro Henrique Bugatti, Marcelo Ponciano da Silva, Agma Juci Machado Traina, Jr. Traina, Caetano, and Paulo Mazzoncini de Azevedo-Marques. In 22th IEEE Intl. Symposium on Computer-Based Medical Systems (CBMS 2009), pages 9--15, Albuquerque, NM, EUA, 2009. IEEE Computer Society. [ bib ]
 
The Onion-tree: Quick Indexing of Complex Data in the Main Memory. Caio Cesar Mori Carelo, Ives Rene Venturini Pola, Cristina Dutra de Aguiar Ciferri, Ricardo Rodrigues Ciferri, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Advances in Databases and Information Systems (ADBIS), Riga, Latvia, 2009. Springer. [ bib ]
 
Identifying Algebraic Properties to Support Optimization of Unary Similarity Queries. Monica Ribeiro Porto Ferreira, Agma Juci Machado Traina, Ires Dias, Richard Chbeir, and Jr. Traina, Caetano. In Marcelo Arenas and Leo Bertossi, editors, The III Alberto Mendelzon International Workshop on Foundations of Data Management, page 10 pags., Arequipa, Peru., 2009. CEUR Workshop Proceedings (http://ceur-ws.org). [ bib ]
 
Incorporating Metric Access Methods for Similarity Searching on Oracle Database. Daniel dos Santos Kaster, Renato Bueno, Pedro Henrique Bugatti, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 24' Simpósio Brasileiro de Bases de Dados (SBBD'09), Applications and Experiences Track, volume 1, page 15 p., Fortaleza, CE, 2009. SBC. [ bib ]
 
Bibliotecas Digitais: A experiência da USP. Rogerio Toshiaki Kondo, Maria de Lourdes Rebucci Lirani, and Jr. Traina, Caetano. Revista USP, 80(1):62--71, 2009. [ bib ]
 
Easing the Dimensionality Curse by Stretching Metric Spaces. Ives Rene Venturini Pola, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Marianne Winslett, editor, 21st International Conference on Scientific and Statistical Database Management, SSDBM 2009, volume 5566 of Lecture Notes in Computer Science, pages 417--434, New Orleans, LA, 2009. Springer. [ bib ]
 
Mining Statistical Association Rules to Select the Most Relevant Medical Image Features. Marcela Xavier Ribeiro, André Guilherme Ribeiro Balan, Joaquim Cezar Felipe, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Djamel A. Zighed, Shusaku Tsumoto, Zbigniew W. Ras, and Hakim Hacid, editors, Mining Complex Data, volume 165/2009 of Studies in Computational Intelligence, pages 113--131. Springer Berlin / Heidelberg, Berlin / Heidelberg, 2009. [ bib ]
 
Supporting Content-Based Image Retrieval and Computer-Aided Diagnosis systems with Association Rule-Based Techniques. Marcela Xavier Ribeiro, Pedro Henrique Bugatti, Agma Juci Machado Traina, Jr. Traina, Caetano, Paulo Mazzoncini de Azevedo Marques, and Natália Abdala Rosa. Data and Knowledge Engineering, 68 - Special issue on Knowledge Discovery in Medicine(12):1370--1382, 2009. [ bib ]
 
A Survey on Distributed Visualization Techniques over Clusters of Personal Computers. Jose Rodrigues, A Balan, L Zaina, and A Traina. INFOCOMP Journal of Computer Science, ISSN: 1807-4545, 8(4):79--90, 2009. [ bib | .pdf ]
In the last years, Distributed Visualization over Personal Computer (PC) clusters has become important for research and industrial communities. They have made large-scale visualizations practical and more accessible. In this work we survey Distributed Visualization techniques aiming at compiling last decade’s literature on the use of PC clusters as suitable alternatives to high-end workstations. We review the topic by defining basic concepts, enumerating system requirements and implementation challenges, and presenting up-to-date methodologies. Our work fulfills the needs of newcomers and seasoned professionals as an introductory compilation at the same time that it can help experienced personnel by organizing ideas.

 
MetricSPlat - A platform for quick development, testing and visualization of content-based retrieval techniques. Jose Rodrigues, Luciana A S Romani, Luciana Zaina, and Ricardo Ciferri. In Simposio Brasileiro de Bancos de Dados - SBBD2009, pages 1--6, 2009. 8 pages. [ bib | .pdf ]
The development and testing of content-based data retrieval systems is a time-consuming task. Over the concept of metric space, such systems must integrate the three factors that define an indexing environment. These factors are features extraction, metric structures and distance functions, not to mention a suitable user interface. This integration deviates the work from the real focus of research, suppressing quick experimentation of ideas. In this context, we present the Metric Space Platform (MetricSPlat), a system designed for content-based retrieval enabled with plug-in features. With minimal effort, MetricSPlat substantially speeds up the experimentation of new techniques by providing a well-defined framework aided with interactive data visualization techniques.

 
Mining Climate and Remote Sensing Time Series to Discover the Most Relevant Climate Patterns. Luciana Alvim Romani, Ana Ana Maria Heuminski de Ávila, Zullo Jr. Jurandir, Jr. Traina, Caetano, and Agma Juci Machado Traina. In 24º Simpósio Brasileiro de Bases de Dados (SBBD´09), Applications and Experiences Track, volume 1, page 15 p., Fortaleza, CE, 2009. SBC. [ bib ]
 
Monitoring Sugar Cane Crops through a DTW-based Method for Similarity Search in NDVI Time Series. Luciana Alvim Romani, Zullo Jr., Cristina R. Nascimento, Renata R. V. Gonçalves, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Fifth International Workshop on the Analysis of Multi-temporal Remote Sensing Images (MultiTemp-2009), page 9 pp, Mystic, Connecticut., 2009. [ bib ]
 
Employing Fractal Dimension to Analyze Climate and Remote Sensing Data Streams. Luciana Alvim Romani, Elaine Parros Machado de Sousa, Marcela Xavier Ribeiro, Jurandir Zullo Jr., Jr. Traina, Caetano, and Agma Juci Machado Traina. In First SIAM SDM Workshop on Multimedia Data Mining (MDM/SDM 2009), volume 1, pages 5--16, Sparks, Nevada, 2009. SIAM. [ bib ]
 
Aplicação de método baseado em fractais para detecção de correlações entre imagens AVHRR-NOAA e dados climáticos para regiões produtoras de cana-de-açúcar. Luciana Alvim Romani, Elaine Parros Machado de Sousa, Jr. Traina, Caetano, Jurandir Zullo Jr., and Agma Juci Machado Traina. In XIV Simpósio Brasileiro de Sensoriamento Remoto (SBSR 2009), page 9 pp, Natal, RN, 2009. 1. [ bib ]
 
Computational framework to analyze agrometeorological, climate and remote sensing data: challenges and perspectives. Luciana Alvim Romani, Agma Juci Machado Traina, Elaine Parros Machado de Sousa, Jurandir Zullo Jr., Ana Ana Maria Heuminski de Ávila, and Jr. Traina, Caetano. In XXXVI Seminário Integrado de Software e Hardware - SEMISH 2009 realizado junto ao XXIX SBC -Congresso da Sociedade Brasileira de Computação, volume I, page 15, Bento Gonçalves, RS, 2009. [ bib ]
 
Computational framework to analyze agrometeorological, climate and remote sensing data: challenges and perspectives. L A S Romani, A J M Traina, E P M de Sousa, J Zullo Jr, A M H Avila, Jose Rodrigues, and C Traina Jr. In Sociedade Brasileira de Computacao, editor, Anais do XXXVI Seminário Integrado de Software e Hardware da SBC, volume 1, pages 323--337, 2009. [ bib | .pdf ]
In the past few years, improvements in the data acquisition technology have decreased the time interval of data gathering. Consequently, institutions have stored huge amounts of data such as climate time series and remote sensing images. Computational models to filter, transform, merge and analyze data from many different areas are complex and challenging. The complexity increases even more when combining several knowledge domains. Examples are research in climatic changes, biofuel production and environmental problems. A possible solution to the problem is the association of several computational techniques. Accordingly, this paper presents a framework to analyze, monitor and visualize climate and remote sensing data by employing methods based on fractal theory, data mining and visualization techniques. Initial experiments showed that the information and knowledge discovered from this framework can be employed to monitor sugar cane crops, helping agricultural entrepreneurs to make decisions in order to become more productive. Sugar cane is the main source to ethanol production in Brazil, and has a strategic importance for the country economy and to guarantee the Brazilian self-sufficiency in this important, renewable source of energy.

 
Including the Perceptual Parameter to Tune the Retrieval Ability of Pulmonary CBIR Systems. Marcelo Ponciano da Silva, Agma Juci Machado Traina, Paulo Mazzoncini de Azevedo-Marques, Joaquim Cezar Felipe, and Jr. Traina, Caetano. In 22th IEEE Intl. Symposium on Computer-Based Medical Systems (CBMS 2009), pages 1--8, Albuquerque, NM, EUA, 2009. IEEE Computer Society. [ bib ]
 
Ranking Functions to Improve Genetic Feature Selection in Content-Based Image Retrieval of Mammograms. Sérgio Francisco da Silva, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 22th IEEE Intl. Symposium on Computer-Based Medical Systems (CBMS 2009), pages 16--23, Albuquerque, NM, EUA, 2009. IEEE Computer Society. [ bib ]
 
How to Cope with the Performance Gap in Content-based Image Retrieval Systems. Agma Juci Machado Traina, Jr. Traina, Caetano, Cristina Dutra de Aguiar Ciferri, Marcela Xavier Ribeiro, and Paulo Mazzoncini de Azevedo Marques. International Journal of Healthcare Information Systems and Informatics (IJHISI), 4(1):47--67, 2009. [ bib ]
 
Reducing the semantic gap in content-based image retrieval in mammography with relevance feedback and inclusion of expert knowledge. Paulo Mazzoncini de Azevedo-Marques, Natália Abdala Rosa, Agma Juci Machado Traina, Jr. Traina, Caetano, Sérgio Koodi Kinoshita, and Rangaraj Mandayam Rangayyan. International Journal of Computer Assisted Radiology and Surgery, 3(1-2):123--130, 2008. [ bib ]
 
Accelerating k-medoid-based algorithms through metric access methods. Maria Camila Nardini Barioni, Humberto Luís Razente, Agma Juci Machado Traina, and Jr. Traina, Caetano. Journal of Systems and Software (JSS), 81(3):343--355, 2008. [ bib ]
 
A New Approach for Optimization of Dynamic Metric Access Methods Using an Algorithm of Effective Deletion. Renato Bueno, Daniel dos Santos Kaster, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 20th International Conference on Scientific and Statistical Database Management (SSDBM 2008), volume 5069/2008, pages 366--383, Hong Kong S.A.R., China, 2008. Springer Berlin / Heidelberg. [ bib ]
 
An algorithm for effective deletion and a new optimization technique for Metric Access Methods. Renato Bueno, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 23rd Annual ACM Symposium on Applied Computing (SAC2008), pages 1034--1035, Fortaleza, Ceará - Brazil, 2008. ACM Press. [ bib ]
 
Content-Based Retrieval of Medical Images by Continuous Feature Selection. Pedro Henrique Bugatti, Marcela Xavier Ribeiro, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 21th IEEE Intl. Symposium on Computer-Based Medical Systems (CBMS 2008), pages 272--277, Jyväskylä, Finland, 2008. IEEE Computer Society. [ bib ]
 
Assessing the Best Integration between Distance-function and Image-Feature to Answer Similarity Queries. Pedro Henrique Bugatti, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 23rd Annual ACM Symposium on Applied Computing (SAC2008), pages 1225--1230, Fortaleza, Ceará - Brazil, 2008. ACM Press. [ bib ]
 
A New Method to Efficiently Reducing Histogram Dimensionality. Pedro Henrique Bugatti, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Symposium on Medical Imaging (SPIE-2008), Computer-Aided Diagnosis track, pages 4 pags. in CD--ROM, San Diego - CA, 2008. [ bib ]
 
nsP-index: A Robust and Persistent Index for Nucleotide Sequences. Ricardo Rodrigues Ciferri, Cristina Dutra de Aguiar Ciferri, Caio César Mori Carélo, and Jr. Traina, Caetano. In Paolo Atzeni, Albertas Caplinskas, and Hannu Jaakkola, editors, Advances in Databases and Information Systems, 12th East European Conference, ADBIS 2008, volume 2, pages 28--41, Pori, Finland, 2008. [ bib ]
 
Uma Ferramenta para Visualização em SGBDRs com uma implementação interativa do algoritmo para detecção de agrupamentos k-medoid. Gabriel de Souza Fedel, Humberto Luís Razente, Jr. Traina, Caetano, and Maria Camila Nardini Barioni. In 3ª Sessão de Demos em Banco de Dados, ocorrido junto ao 23º Simpósio Brasileiro de Bases de Dados (SBBD´08), volume 1, pages 7--12, Campinas, SP, 2008. SBC. [ bib ]
 
A New Family of Distance Functions for Perceptual Similarity Retrieval of Medical Images. Joaquim Cezar Felipe, Agma Juci Machado Traina, and Jr. Traina, Caetano. Journal of Digital Imaging, 22(2):183--201, 2008. [ bib ]
 
Combinação de Técnicas de Interação Humano-Computador para Avaliação de Sistemas de Recuperação de Imagens por Conteúdo. Ana Lúcia Filardi and Agma Juci Machado Traina. In XIV Simpósio Brasileiro de Sistemas Multimedia e Web (WebMedia 2008), pages 170--177, Vila Velha, ES., 2008. SBC. [ bib ]
 
Montando Questionários para Medir a Satisfação do Usuário: Avaliação de Interface de um Sistema que Utiliza Técnicas de Recuperação de Imagens por Conteúdo. Ana Lúcia Filardi and Agma Juci Machado Traina. In VIII Simpósio Brasileiro de Fatores Humanos em Sistemas Computacionais (IHC 2008), pages 176--185, Porto Alegre, RS, 2008. [ bib ]
 
Redução da Descontinuidade Semântica através da Aplicação de Realimentação de Relevância na Recuperação por Conteúdo de Imagens Mamográficas. Paulo Mazzoncini de Azevedo Marques, Natália Abdala Rosa, Sérgio Koodi Kinoshita, Joaquim Cezar Felipe, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 21º Congresso Brasileiro De Engenharia Biomédica (CBEB2008), page 4 pags., Salvador-BA, 2008. [ bib ]
 
A Novel Optimization Approach to Efficiently Process Aggregate Similarity Queries in MAM. Humberto Luís Razente, Maria Camila Nardini Barioni, Agma Juci Machado Traina, Christos Faloutsos, and Jr. Traina, Caetano. In James G. Shanahan, Sihem Amer-Yahia, Ioana Manolescu, Yi Zhang, David A. Evans, Aleksander Kolcz, Key-Sun Choi, and Abdur Chowdhury, editors, ACM 17th International Conference on Information and Knowledge Management (CIKM 08), pages 193--202, Napa Valley, CA, 2008. ACM Press. [ bib ]
 
Aggregate Similarity Queries in Relevance Feedback Methods for Content-based Image Retrieval. Humberto Luís Razente, Maria Camila Nardini Barioni, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 23rd Annual ACM Symposium on Applied Computing (SAC2008), pages 869--874, Fortaleza, Ceará - Brazil, 2008. ACM Press. [ bib ]
 
Data Pre-processing: A New algorithm for Feature Selection and Data Discretization. Marcela Xavier Ribeiro, Monica Ribeiro Porto Ferreira, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Fifth International Conference on Soft Computing as Transdisciplinary Science and Technology (ACM/IEEE CSTST 2008), pages 252--257, Cergy-Pontoise/Paris-France, 2008. [ bib ]
 
A new Algorithm for Data Discretization and Feature Selection. Marcela Xavier Ribeiro, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 23rd Annual ACM Symposium on Applied Computing (SAC2008), pages 953,954, Fortaleza, Ceará - Brazil, 2008. ACM Press. [ bib ]
 
An Efficient Association Rule-based Method to Support Medical Image Diagnosis. Marcela Xavier Ribeiro, Agma Juci Machado Traina, Jr. Traina, Caetano, and Paulo Mazzoncini de Azevedo Marques. IEEE Transactions on Multimedia, 10(2):277 -- 285, 2008. [ bib ]
 
How to Improve Medical Image Diagnosis through Association Rules: The IDEA Method. Marcela Xavier Ribeiro, Agma Juci Machado Traina, Jr. Traina, Caetano, Natália Abdala Rosa, and Paulo Mazzoncini de Azevedo Marques. In 21th IEEE Intl. Symposium on Computer-Based Medical Systems (CBMS 2008), pages 266--271, Jyväskylä, Finland, 2008. IEEE Computer Society. [ bib ]
 
Paginação de Resultados em Consultas por Abrangência. Fábio C.M. Ricotta, Thatyana F. Piola Seraphim, Enzo Seraphim, Edmilson M. Moreira, and Jr. Traina, Caetano. In 23º Simpósio Brasileiro de Bases de Dados (SBBD´08), Research Track, volume 1, pages 1--15, Campinas, SP, 2008. SBC. [ bib ]
 
The Visual Expression Process: Bridging Vision and Data Visualization. José Fernando Rodrigues Jr., André Guilherme Ribeiro Balan, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 9th International Symposium on Smart Graphics (SG 2008), volume 5166/2008, pages 207--215, Rennes, France, 2008. Springer Berlin / Heidelberg. [ bib ]
 
Mining Frequent Patterns for Visual Interpretation in a Multi-view Environment. José Fernando Rodrigues Jr., Agma Juci Machado Traina, and Jr. Traina, Caetano. In Simeon J. Simoff, Michael H. Böhlen, and A. Mazeika, editors, Visual Data Mining: Theory, Techniques and Tools, volume 4404 of LNCS State of the Art Surveys, pages 50--69. Springer-Verlag Press, Heidelberg, Germany, 2008. [ bib ]
 
GMine: interactive browsing of large graphs. Jose Rodrigues, C C M Carelo, A J M Traina, C D A Ciferri, and C Traina Jr. In IV Workshop on Information Visualization and Analysis in Social Networks (SBBD-WIVA2008), volume 1, pages 51--59. Biblioteca Digital Brasileira de Computação, 2008. [ bib | .pdf ]
Graphs are abstract representations that can describe a large set of real world phenomena and that, possibly, scale to the order of hundreds of thousands of nodes and millions of edges. Benefiting from such graphs can be better performed by means of visual interaction. However, in the domain of large graphs, excessive processing and limited display space bound the possibilities for visual presentation and processing. In this line, we introduce GMine, a prototype system that uses an innovative data structure, the Graph-Tree. The engineering of GMine allows for scalability over huge graphs stored on disk, an extended graph representation embracing both hierarchical and plain organization, and the interactive browsing of graph hierarchies.

 
Mining Patterns for Visual Interpretation in a Multiple Views Environment. Jose Rodrigues, Agma J Traina, and Caetano Traina Jr. In Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, pages 196--214. Springer, 2008. [ bib | DOI | .pdf ]
This chapter introduces a novel systematization aiming at extending the application range of Information Visualization and Visual Data Mining. We present an innovative framework named Visualization Tree in order to integrate multiple data visualizations assisted by novel visual exploration techniques. These exploration techniques are named Frequency Plot, Relevance Plot and Representative Plot, and are integrated according the proposed Visualization Tree framework. The systematization of visualization techniques enabled by these concepts defines a Visual Data Mining environment where multiple presentation workspaces are kept together, linked according to analytical decisions taken by the user. Our emphasis is on developing an intuitive and versatile multiple-views system that helps the user to identify visual patterns while interpreting multiple data subsets. In this context, the analyst is able to draw and summarize several subsets that are inspected simultaneously each in a dedicated workspace.

 
Aplicação de Técnicas de Mineração em Dados Climáticos e de Satélite para Auxiliar no Acompanhamento das Safras de Cana-de-Açucar. Luciana Alvim Romani, Agma Juci Machado Traina, Marcela Xavier Ribeiro, Elaine Parros Machado de Sousa, Jurandir Zullo Jr., and Jr. Traina, Caetano. In IV Workshop sobre Mineração de Dados - Algoritmos e Aplicações (WAAMD 2008), ., pages 87--92, Campinas, SP, Brazil, 2008. [ bib ]
 
Using Relevance Feedback to Reduce the Semantic Gap in Content-based Image Retrieval of Mammographic Masses. Natália Abdala Rosa, Joaquim Cezar Felipe, Agma Juci Machado Traina, Agma Juci Machado Traina, Rangaraj Mandayam Rangayyan, and Paulo Mazzoncini de Azevedo Marques. In 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2008), pages 406--409, Vancouver, BC, Canada, 2008. [ bib ]
 
Improving CBIR Using Feature Extraction Based on Wavelet Transform. Carolina Yukari Veludo Watanabe Silva, Pedro Henrique Bugatti, Marcela Xavier Ribeiro, Jr. Traina, Caetano, and Agma Juci Machado Traina. In XIV Simpósio Brasileiro de Sistemas Multimedia e Web (WebMedia 2008), pages 51--58, Vila Velha, ES., 2008. [ bib ]
 
Employing Wavelet Transforms to Support Content-Based Retrieval of Medical Images. Carolina Yukari Veludo Watanabe Silva, Marcela Xavier Ribeiro, Agma Juci Machado Traina, and Jr. Traina, Caetano. In The 8th International Workshop on Pattern Recognition in Information Systems (PRIS 2008), pages 19--28, Barcelona, Spain, 2008. [ bib ]
 
Reconciliando Dados de Cunho Acadêmico. Bruno Tomazela, Cristina Dutra de Aguiar Ciferri, and Jr. Traina, Caetano. In 23º Simpósio Brasileiro de Bases de Dados (SBBD´08), Applications and Experiences Track, volume 1, pages 283--297, Campinas, SP, 2008. SBC. [ bib ]
 
Biased Box Sampling - A Density-Biased Sampling for Clustering. Ana Paula Appel, Adriano Arantes Paterlini, Elaine Parros Machado de Sousa, Jr. Traina, Caetano, and Agma Juci Machado Traina. In ACM Symposium on Applied Computing (SAC'2007), volume 1, pages 445--446, Seoul, Korea, 2007. [ bib ]
 
A Density-Biased Sampling Technique to Improve Cluster Representativeness. Ana Paula Appel, Adriano Arantes Paterlini, Elaine Parros Machado de Sousa, Jr. Traina, Caetano, and Agma Juci Machado Traina. In 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'07), volume 4702/2007, pages 366--373, Varsovia, Polonia, 2007. [ bib ]
 
An Effective Cost Model for Similarity Queries in Metric Spaces. Gisele Busichia Baioco, Agma Juci Machado Traina, and Jr. Traina, Caetano. In ACM Symposium on Applied Computing (SAC'2007), pages 527--528, Seoul, Korea, 2007. [ bib ]
 
MAMCost: Global and Local Estimates leading to Robust Cost Estimation of Similarity Queries. Gisele Busichia Baioco, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 19th International Conference on Scientific and Statistical Database Management (SSDBM 2007), pages 6--16, Banff, Canada, 2007. ACM Press. [ bib ]
 
HEAD: the Human Encephalon Automatic Delimiter. André Guilherme Ribeiro Balan, Agma Juci Machado Traina, Marcela Xavier Ribeiro, Paulo Mazzoncini de Azevedo Marques, and Jr. Traina, Caetano. In 20th IEEE Intl Symposium on Computer-Based Medical Systems (CBMS 2007), volume 1, pages 171--176, Maribor, Slovenia, 2007. IEEE Computer Society. [ bib ]
 
Visually Interacting with k-medoid-based Algorithms. Maria Camila Nardini Barioni, Humberto Luís Razente, Gabriel de Souza Fedel, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 3rd ADBIS Workshop on Data Mining and Knowledge Discovery, in conjunction with ADBIS´07, Lecture Notes in Computer Sciences, pages 9--18, Varna, Bulgaria, 2007. Springer Verlag. [ bib ]
 
Genetic Algorithms for Approximate Similarity Queries. Renato Bueno, Agma Juci Machado Traina, and Jr. Traina, Caetano. Data and Knowledge Engineering-DKE, 62(3):459--482, 2007. [ bib ]
 
Horizontal Fragmentation as a Technique to Improve the Performance of Drill-Down and Roll-up Queries. Cristina Dutra de Aguiar Ciferri, Ricardo Rodrigues Ciferri, Diogo Tuler Forlani, Agma Juci Machado Traina, and Fernado da Fonseca de Souza. In 22th ACM Symposium on Applied Computing (SAC), volume 1, pages 494--499, Seoul, Coréia, 2007. ACM Press. [ bib ]
 
An Efficient Framework for Similarity Query Optimization. Monica Ribeiro Porto Ferreira, Jr. Traina, Caetano, and Agma Juci Machado Traina. In 15th ACM International Symposium on Advances in Geographic Information Systems (ACM GIS 2007), pages 396--39, Seattle, Washington, 2007. [ bib ]
 
Using Ajax to integrate institutional electronic theses and dissertation repository with corporate systems at University of Sã Paulo. Rogerio Toshiaki Kondo, Maria de Lourdes Rebucci Lirani, Vinicius Augusto Tagliatti Zani, Jr. Traina, Caetano, Paulo Cesar Masiero, and Fabio Kon. In International Symposium on Electronic Theses and Dissertations, pages 5p. (in CD--ROM), Uppsala, Sweden, 2007. [ bib ]
 
The MM-tree: A Memory-Based Metric Tree without Overlap Between Nodes. Ives Rene Venturini Pola, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Yannis E. Ioannidis, Boris Novikov, and Boris Rachev, editors, 11th East-European Conference on Advances in Databases and Information Systems (ADBIS´07), volume 4690/2007 of Lecture Notes in Computer Sciences, pages 157--171, Varna, Bulgaria, 2007. Springer Verlag. [ bib ]
 
Constrained Aggregate Similarity Queries in Metric Spaces. Humberto Luís Razente, Maria Camila Nardini Barioni, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 22º Simpósio Brasileiro de Bases de Dados (SBBD´07), volume 1, pages 143--159, João Pessoa, PB, 2007. SBC. [ bib ]
 
Consultas por Similaridade Agregada em Métodos de Realimentação de Relevância para Consultas por Conteúdo de Imagens. Humberto Luís Razente, Maria Camila Nardini Barioni, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Sessão de Pôsteres do 22º Simpósio Brasileiro de Bases de Dados (SBBD 2007), pages 3--6, João Pessoa, PB, 2007. [ bib ]
 
Enhancing Medical Image Retrieval with Association Rules. Marcela Xavier Ribeiro, André Guilherme Ribeiro Balan, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Workshop on Content-based Image Retrieval for Biomedical Image Archives: achievements, problems and prospects,co-located with the 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2007), pages 11--20, Brisbane, Australia, 2007. [ bib ]
 
SuGAR: Association-Rules based Framework to Support Diagnosis of Abnormalities in Mammograms. Marcela Xavier Ribeiro, Agma Juci Machado Traina, André Guilherme Ribeiro Balan, Jr. Traina, Caetano, and Paulo Mazzoncini de Azevedo Marques. In 20th IEEE Intl Symposium on Computer-Based Medical Systems (CBMS 2007), volume 1, pages 47--52, Maribor, Slovenia, 2007. IEEE Computer Society. [ bib ]
 
Large Graph Visualization with GMine. José Fernando Rodrigues Jr., Hanghang Tong, Agma Juci Machado Traina, and Christos Faloutsos. Transactions on Applied Perception Journal, page (to be published), 2007. [ bib ]
 
The Spatial/Perceptual Design Space: a new comprehension for Data Visualization. José Fernando Rodrigues Jr., Agma Juci Machado Traina, Maria Cristina Ferreira de Oliveira, and Jr. Traina, Caetano. Information Visualization Journal, 6(4):261--279, 2007. [ bib ]
 
Design espacial-perceptivo: uma nova compreensão para representações visuais interativas. Jose Rodrigues and Agma Traina. PhD thesis, University of Sao Paulo, - Sao Carlos, SP, Brazil, 2007. [ bib | .pdf ]
 
Investigating the potential of ART Neural Network Models for Indexing and Information Retrieval. Roseli A. Francelin Romero, José Flávio Vicentini, Patrícia R. Oliveira, and Agma Juci Machado Traina. International Journal of Intelligent Systems, 22(4):219--336, 2007. [ bib ]
 
Interface for Assisted Structured Reporting in Mammography with CBIR Integrated. Natália Abdala Rosa, Paulo Mazzoncini de Azevedo Marques, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Society for Imaging Informatics in Medicine Annual Meeting (SIIM 2007), pages 37--39, Providence, Rhode Island, 2007. [ bib ]
 
Mapeamento de Parâmetros Perceptuais e Descritores no Processo de Análise Diagnóstica de Pulmão. Marcelo Ponciano da Silva, Agma Juci Machado Traina, and Joaquim Cezar Felipe. In III Simpósio de Instrumentação e Imagens Médicas (SIIM 2007), page 4 pags (in CDRom), Sã Carlos, SP, 2007. [ bib ]
 
Measuring Evolving Data Streams'Behavior through Their Intrinsic Dimension. Elaine Parros Machado de Sousa, Agma Juci Machado Traina, Jr. Traina, Caetano, and Christos Faloutsos. New Generation Computing, 25(1):33--60, 2007. [ bib ]
 
A fast and effective method to find correlations among attributes in databases. Elaine Parros Machado de Sousa, Jr. Traina, Caetano, Agma Juci Machado Traina, Leejay Wu, and Christos Faloutsos. Data Mining and Knowledge Discovery, 14(3):367--407, 2007. [ bib ]
 
The OMNI-Family of All-Purpose Access Methods: A Simple and Effective Way to Make Similarity Search More Efficient. Jr. Traina, Caetano, Roberto Figueira Santos Filho, Agma Juci Machado Traina, Marcos Rodrigues Vieira, and Christos Faloutsos. The International Journal on Very Large Databases, 16(4):483--505, 2007. [ bib ]
 
Bulk-loading Dynamic Metric Access Methods. Thiago Galbiatti Vespa, Jr. Traina, Caetano, and Agma Juci Machado Traina. In 22º Simpósio Brasileiro de Bases de Dados (SBBD´07), volume 1, pages 160--173, João Pessoa, PB, 2007. SBC. [ bib ]
 
Estimating Suitable Query Radii to Boost kNearest Neighbor Queries. Marcos Rodrigues Vieira, Jr. Traina, Caetano, Agma Juci Machado Traina, Adriano Siqueira Arantes, and Christos Faloutsos. In 19th International Conference on Scientific and Statistical Database Management (SSDBM 2007), pages 1--10, Banff, Canada, 2007. ACM Press. [ bib ]
 
Amostragem Balanceada Baseada na Correlação Fractal. Ana Paula Appel, Adriano Arantes Paterlini, Elaine Parros Machado de Sousa, and Jr. Traina, Caetano. In II Workshop em Algoritmos e Aplicações de Mineração de Dados (II WAAMD) junto ao 21º Simpósio Brasileiro de Banco de Dados (SBBD'06), volume 1, pages 1--8, Florianópolis, SC, 2006. SBC. [ bib ]
 
SIREN: A similarity Retrieval Engine for Complex Data. Maria Camila Nardini Barioni, Humberto Luís Razente, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Umeshwar Dayal, Kyu-Young Whang, David B. Lomet, Gustavo Alonso, Guy M. Lohman, Martin L. Kersten, Sang Kyun Cha, and Young-Kuk Kim, editors, Demo section of the 32nd Intl Conference on Very Large Data Bases (VLDB 06), pages 1155--1158, Seoul, South Korea, 2006. ACM Press. [ bib ]
 
An Efficient Approach to Scale up k-Medoid-based Algorithms in Large Databases. Maria Camila Nardini Barioni, Humberto Luís Razente, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 21º Simpósio Brasileiro de Bases de Dados (SBBD´06), volume 1, pages 265--279, Florianópolis, SC, 2006. SBC. [ bib ]
 
Data Warehousing na Saúde: Melhorando a Tomada de Decisão Médico-Analítica. Cristina Dutra de Aguiar Ciferri, Ricardo Rodrigues Ciferri, R.R. Ogata, A.M.P. Lima, and Agma Juci Machado Traina. In XXXII Conferencia Latinoamericana de Informática, (CLEI 2006), page 12 pags (CDRom), Santiago del Chile, Chile, 2006. [ bib ]
 
FastMapDB: Uma Ferramenta para Visualização em SGBDRs com uma implementação interativa do algoritmo para detecção de agrupamentos k-medoid. Gabriel de Souza Fedel, Humberto Luís Razente, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 3ª Sessão de Demos em Banco de Dados, junto com o 21º Simpósio Brasileiro de Bases de Dados (SBBD´06), volume 1, pages 31--36, Florianópolis, SC, 2006. SBC. [ bib ]
 
Comparing Images with Distance Functions based on Attribute Interaction. Joaquim Cezar Felipe, Paulo Mazzoncini de Azevedo-Marques, André Guilherme Ribeiro Balan, Jr. Traina, Caetano, and Agma Juci Machado Traina. In 21th ACM Symposium on Applied Computing (SAC), volume 2, pages 1398--1399, Dijon, France, 2006. ACM Press. [ bib ]
 
Effective Shape-based Retrieval and Classification of Mammograms. Joaquim Cezar Felipe, Marcela Xavier Ribeiro, Elaine Parros Machado de Sousa, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 21th ACM Symposium on Applied Computing (SAC), volume 1, pages 250--255, Dijon, France, 2006. ACM Press. [ bib ]
 
Perceptual Distance Functions for Similarity Retrieval of Medical Images. Joaquim Cezar Felipe, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 5th Intl. Conference on Image and Video Retrieval (CIVR 2006), volume 4071 of Lecture Notes in Computer Science (LNCS), pages 432--442, Tempe, AZ, USA, 2006. Springer Verlag. [ bib ]
 
A New Similarity Measure for Histograms Applied to Content-based Retrieval of Medical Images. Joaquim Cezar Felipe, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 21th ACM Symposium on Applied Computing (SAC), volume 1, pages 258--259, Dijon, France, 2006. ACM Press. [ bib ]
 
Acelerando com Ajax a Biblioteca Digital de Teses e Dissertações da USP. Rogerio Toshiaki Kondo, Maria de Lourdes Rebucci Lirani, Vinicius Augusto Tagliatti Zani, Paulo Cesar Masiero, and Jr. Traina, Caetano. In II Workshop de Bibliotecas Digitais (WDL) junto ao 21º Simpósio Brasileiro de Banco de Dados (SBBD'06), volume 1, pages 31--40, Florianópolis, SC, 2006. SBC. [ bib ]
 
Automatic Mining of Fruit Fly Embryo Images. Jia-Yu Pan, André Guilherme Ribeiro Balan, Agma Juci Machado Traina, Christos Faloutsos, and E. P. Xing. In 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2006), pages 693--698, Philadelphia, PA, 2006. ACM Press. [ bib ]
 
Distance Functions Association for Content-Based Image Retrieval using Multiple Comparison Criteria. Ives Rene Venturini Pola, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 19th IEEE Intl Symposium on Computer-Based Medical Systems (CBMS 2006), volume 1, pages 899--904, Salt Lake City, Utah, USA., 2006. IEEE Computer Society. [ bib ]
 
Recuperação de Imagens Médicas por Conteúdo em um Sistema de Gerenciamento de Banco de Dados de Código Livre. Humberto Luís Razente, Maria Camila Nardini Barioni, Agma Juci Machado Traina, and Agma Juci Machado Traina. In X Congresso Brasileiro de Informática em Saúde (CBIS'06), volume 1, pages 6p. in CD--ROM, Florianópolis, SC, 2006. [ bib ]
 
Visually mining trends on multidimensional time-evolving data. Humberto Luís Razente, Maria Camila Nardini Barioni, Agma Juci Machado Traina, and Jr. Traina, Caetano. In II Workshop em Algoritmos e Aplicações de Mineração de Dados (II WAAMD) junto ao 21º Simpósio Brasileiro de Banco de Dados (SBBD'06), volume 1, pages 73--80, Florianópolis, SC, 2006. SBC. [ bib ]
 
Statistical Association Rules and Relevance Feedback: Powerful Allies to Improve the Retrieval of Medical Images. Marcela Xavier Ribeiro, Joselene Marques, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 19th IEEE Intl Symposium on Computer-Based Medical Systems (CBMS 2006), volume 1, pages 887--892, Salt Lake City, Utah, USA., 2006. IEEE Computer Society. [ bib ]
 
Combatendo os Pesadelos da Busca Por Conteúdo em Imagens Médicas. Marcela Xavier Ribeiro, Joselene Marques, Agma Juci Machado Traina, and Jr. Traina, Caetano. In X Congresso Brasileiro de Informática em Saúde (CBIS'06), volume 1, pages 6p. in CD--ROM, Florianópolis, SC, 2006. [ bib ]
 
Apoiando a Busca por Conteúdo em Imagens Médicas através da Mineração de Regras de Associação Estatísticas. Marcela Xavier Ribeiro, Carolina Yukari Veludo Watanabe Silva, André Guilherme Ribeiro Balan, Jr. Traina, Caetano, and Agma Juci Machado Traina. In II Workshop em Algoritmos e Aplicações de Mineração de Dados (II WAAMD) junto ao 21º Simpósio Brasileiro de Banco de Dados (SBBD'06), volume 1, pages 17--26, Florianópolis, SC, 2006. SBC. [ bib ]
 
GMine: A System for Scalable, Interactive Graph Visualization and Mining. José Fernando Rodrigues Jr., Hanghang Tong, Agma Juci Machado Traina, Christos Faloutsos, and Jure Leskovec. In Umeshwar Dayal, Kyu-Young Whang, David B. Lomet, Gustavo Alonso, Guy M. Lohman, Martin L. Kersten, Sang Kyun Cha, and Young-Kuk Kim, editors, Demo section of the 32nd Intl Conference on Very Large Data Bases (VLDB 06), pages 1195--1198, Seoul, South Korea, 2006. ACM Press. [ bib ]
 
Supergraph Visualization. José Fernando Rodrigues Jr., Agma Juci Machado Traina, Christos Faloutsos, and Jr. Traina, Caetano. In IEEE International Symposium on Multimedia (ISM2006), pages 227--234, San Diego - CA, 2006. IEEE Computer Society. [ bib ]
 
Reviewing Data Visualization: an Analytical Taxonomical Study. José Fernando Rodrigues Jr., Agma Juci Machado Traina, Jr. Traina, Caetano, and Maria Cristina Ferreira de Oliveira. In 10th International Conference on Information Visualization (IV06), pages 713--720, London, England, 2006. IEEE Computer Society. [ bib ]
 
Tracking the Intrinsic Dimension of Evolving Data Streams to Update Association Rules. Elaine Parros Machado de Sousa, Marcela Xavier Ribeiro, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 3rd International Workshop on Knowledge Discovery from Data Streams, part of the 23th International Conference on Machine Learning (ICML06), pages 10p. in CD--ROM, Pittsburgh, PA, 2006. [ bib ]
 
Evaluating the Intrinsic Dimension of Evolving Data Streams. Elaine Parros Machado de Sousa, Agma Juci Machado Traina, Jr. Traina, Caetano, and Christos Faloutsos. In 21th ACM Symposium on Applied Computing (SAC), volume 1, pages 643--648, Dijon, France, 2006. ACM Press. [ bib ]
 
Fighting the Semantic Gap on CBIR Systems through Relevance Feedback Techniques. Agma Juci Machado Traina, Joselene Marques, and Jr. Traina, Caetano. In 19th IEEE Intl Symposium on Computer-Based Medical Systems (CBMS 2006), volume 1, pages 881--886, Salt Lake City, Utah, USA., 2006. IEEE Computer Society. [ bib ]
 
Efficient Processing of Complex Similarity Queries in RDBMS through Query Rewriting. Jr. Traina, Caetano, Agma Juci Machado Traina, Marcos Rodrigues Vieira, Adriano Siqueira Arantes, and Christos Faloutsos. In Philip S. Yu, Vassilis J. Tsotras, Edward A. Fox, and Bing Liu, editors, ACM 15th International Conference on Information and Knowledge Management (CIKM 06), pages 4--13, Arlington - VA, USA, 2006. ACM Press. [ bib ]
 
DBM-Tree: Trading Height-Balancing for Performance in Metric Access Methods. Marcos Rodrigues Vieira, Jr. Traina, Caetano, Fábio Jun Takada Chino, and Agma Juci Machado Traina. Journal of The Brazilian Computer Society (JBCS), 11(3):37--52, 2006. [ bib ]
 
Apoiando o ensino da álgebra relacional com a ferramenta iDFQL - Um estudo de caso. Ana Paula Appel and Jr. Traina, Caetano. In Claudio da Rocha Brito and Melany M. Ciampi, editors, Global Congress on Engineering and Technology Education, pages 5 pages in CD--Rom, Bertioga-Santos, SP, Brasil, 2005. Council of Researches in Education and Sciences (COPEC). [ bib ]
 
Fractal Analysis of Image Textures for Indexing and Retrieval by Content. André Guilherme Ribeiro Balan, Agma Juci Machado Traina, Jr. Traina, Caetano, and Paulo Mazzoncini de Azevedo Marques. In 18th IEEE Intl. Symposium on Computer-Based Medical Systems - CBMS, pages 581 -- 586, Dublin, Ireland, 2005. IEEE Computer Society. [ bib ]
 
Incluindo Consultas por Similaridade em SQL. Maria Camila Nardini Barioni, Humberto Luís Razente, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Ângelo Brayner and Carina Friedrich Dorneles, editors, 2ª Sessão de Demos em Banco de Dados - junto ao 20 Simpósio Brasileiro de banco de Dados (SBBD'2005), pages 13--18, Uberlândia, MG, 2005. [ bib ]
 
Querying complex objects by similarity in SQL. Maria Camila Nardini Barioni, Humberto Luís Razente, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Carlos Alberto Heuser and Sandra Aparecida de Amo, editors, Simpósio Brasileiro de Banco de Dados (SBBD'2005), volume 1, pages 130--144, Uberlândia, MG, 2005. SBC. [ bib ]
 
Algoritmos Genéticos para Consultas por Similaridade Aproximadas. Renato Bueno, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Carlos Alberto Heuser and Sandra Aparecida de Amo, editors, Simpósio Brasileiro de Banco de Dados (SBBD'2005), volume 1, pages 190--204, Uberlândia, MG, 2005. SBC. [ bib ]
 
Accelerating Approximate Similarity Queries using Genetic Algorithms. Renato Bueno, Jr. Traina, Caetano, and Agma Juci Machado Traina. In ACM Intl. Conference on Applied Computing (SAC), volume 1, pages 617--622, Santa Fe, New Mexico, 2005. ACM Press. [ bib ]
 
MAMView: A Visual Tool for Exploring and Understanding Metric Access Methods. Fábio Jun Takada Chino, Marcos Rodrigues Vieira, Agma Juci Machado Traina, and Jr. Traina, Caetano. In ACM Intl. Conference on Applied Computing (SAC), volume 2, pages 1228--1233, Santa Fe, New Mexico, 2005. ACM Press. [ bib ]
 
A Low-cost Approach for Effective Shape-based Retrieval and Classification of Medical Images. Joaquim Cezar Felipe, Jonatas Bergamo Olioti, Agma Juci Machado Traina, Marcela Xavier Ribeiro, Elaine Parros Machado de Sousa, and Jr. Traina, Caetano. In Shu-Ching Chen and Mei-Ling Shyu, editors, First IEEE International Workshop on Multimedia Information Processing and Retrieval IEEE-MIPR 2005, page 8., Irvine, CA, 2005. IEEE Press. [ bib ]
 
Global Warp Metric Distance: Boosting Content-based Image Retrieval through Histograms. Joaquim Cezar Felipe, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Jeffrey J. P. Tsai, Max Muhlhauser, and Makoto Takizawa, editors, IEEE International Symposium on Multimedia-ISM2005, pages 295--302, Irvine, CA, 2005. IEEE Press. [ bib ]
 
DBGen - Gerador de Dados Sintéticos com Distribuição Fractal. Monica Ribeiro Porto Ferreira, Renato Bueno, and Jr. Traina, Caetano. In Ângelo Brayner and Carina Friedrich Dorneles, editors, 2ª Sessão de Demos em Banco de Dados - junto ao 20 Simpósio Brasileiro de banco de Dados (SBBD'2005), pages 25--30, Uberlândia, MG, 2005. [ bib ]
 
FastMapDB: Uma Ferramenta para Visualização em SGBDRs com suporte à Filtragem e Seleção Visual dos Dados. Adriano Arantes Paterlini, Rodrigo Fálico Teodoro de Faria, Humberto Luís Razente, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Ângelo Brayner and Carina Friedrich Dorneles, editors, 2ª Sessão de Demos em Banco de Dados - junto ao 20 Simpósio Brasileiro de banco de Dados (SBBD'2005), pages 1--6, Uberlândia, MG, 2005. [ bib ]
 
Mining Statistical Association Rules to Select the Most Relevant Medical Image Features. Marcela Xavier Ribeiro, André Guilherme Ribeiro Balan, Joaquim Cezar Felipe, Agma Juci Machado Traina, and Jr. Traina, Caetano. In First International Workshop on Mining Complex Data, in conjunction with ICDM'05, pages 91--98, Houston, TX, 2005. IEEE Computer Society. [ bib ]
 
Visualization Tree, Multiple Linked Analytical Decisions. José Fernando Rodrigues Jr., Agma Juci Machado Traina, and Jr. Traina, Caetano. In Andreas Butz, Brian Fisher, Antonio Krüger, and Patrick Olivier, editors, 5th International Symposium on Smart Graphics, SG 2005, volume 3638 of Lecture Notes in Computer Science, pages 65 -- 76, Frauenwörth Cloister, Germany, 2005. Springer-Verlag Press. [ bib ]
 
Enhanced Visual Evaluation of Feature Extractors for Image Mining. José Fernando Rodrigues Jr., Agma Juci Machado Traina, and Jr. Traina, Caetano. In The 3rd ACS/IEEE Intl. Conference on Computer Systems and Applications - AICCSA, volume 1, page 8 pags, Cairo, Egypt, 2005. IEEE Computer Society. [ bib ]
 
Image Domain Formalization for Content-Based Image Retrieval. Jr. Traina, Caetano, Josiel Maimoni de Figueiredo, and Agma Juci Machado Traina. In ACM Intl. Conference on Applied Computing (SAC), volume 1, pages 608--613, Santa Fe, New Mexico, 2005. ACM Press. [ bib ]
 
Using Fractals in Data Mining. Jr. Traina, Caetano, Elaine Parros Machado de Sousa, and Agma Juci Machado Traina. In Mehmed M. Kantardzic and Jozef Zurada, editors, New Generation of Data Mining Applications, volume 1, page 30p. Wiley/IEEE Press, 2005. [ bib ]
 
Using an Image-Extended Relational Database to Support Content-based Image Retrieval in a PACS. Jr. Traina, Caetano, Agma Juci Machado Traina, Myrian Renata Barros Araújo, Josiane Maria Bueno, Fábio Jun Takada Chino, Humberto Luís Razente, and Paulo Mazzoncini de Azevedo Marques. International Journal of Computer Methods and Programs in Biomedicine - Elsevier Press, 80(Supplement 1):S71--S83, 2005. [ bib ]
 
iDFQL: A Query-based Tool to Help the Teaching Process of the Relational Algebra. Ana Paula Appel, Elaine Quintino Silva, Jr. Traina, Caetano, and Agma Juci Machado Traina. In World Conference on Enginnering and Technology Education - WCETE'2004, Guarujá, SP, 2004. [ bib ]
 
iDFQL - interactive Data Flow Query Language. Ana Paula Appel and Jr. Traina, Caetano. In Editora da Universidade Federal do Amazonas, editor, XV SBIE - SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO - MOSTRA DE SOFTWARE EDUCACIONAL, volume VII, pages 10--1, Manaus, AM, Brasil, 2004. [ bib ]
 
iDFQL - Uma ferramenta para criação de consultas complexas. Ana Paula Appel and Jr. Traina, Caetano. In José Palazzo Oliveira, Carina F. Dorneles, and Eduardo Kroth, editors, XIX Simpósio Brasileiro de Banco de Dados (SBBD'2004) - I Sessão de Demo, volume v1, pages 19--24, Brasilia, DF, Brasil, 2004. [ bib ]
 
iDFQL - Uma Ferramenta de Apoio ao Processo de Ensino-Aprendizagem da Álgebra Relacional Baseado no Construcionismo. Ana Paula Appel and Jr. Traina, Caetano. In I Workshop de Educação em Informática RJ/ES - I WEI RJ/ES, pages 14 páginas in CD--ROM, Vitória, ES, Brasil, 2004. [ bib ]
 
Efficient Algorithms to Execute Complex Similarity Queries in RDBMS. Adriano Siqueira Arantes, Marcos Rodrigues Vieira, Jr. Traina, Caetano, and Agma Juci Machado Traina. Journal of The Brazilian Computer Society (JBCS), 3(9):5--24, 2004. [ bib ]
 
Flexibilizando Buscas por Conteúdo em ambientes PACS. Josiel Maimoni de Figueiredo, Jr. Traina, Caetano, Agma Juci Machado Traina, and Paulo Mazzoncini de Azevedo Marques. In IX Congresso Brasileiro de Informática em Saúde - CBIS´2004, pages 6 p. in CD--ROM, Ribeirão Preto, SP, Brazil, 2004. [ bib ]
 
Visual Analysis of Feature Selection for Data Mining Processes. Humberto Luíz Razente, Fábio Jun Takada Chino, Maria Camila Nardini Barioni, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Sérgio Lifschitz, editor, Simpósio Brasileiro de Banco de Dados, volume 1, pages 163--177, Brasília, DF, 2004. SBC. [ bib ]
 
Content-based Image Retrieval Using Approximate Shape of Objects. Agma Juci Machado Traina, André Guilherme Ribeiro Balan, Luis Marcelo Bortolotti, and Jr. Traina, Caetano. In 17th IEEE Symposium on Computer-Based Medical Systems (CBMS´04), volume 1, pages 91--96, Bethesda, Maryland, 2004. IEEE Computer Society. [ bib ]
 
Including Conditional Operators in Content-Based Image Retrieval in Large Sets of Medical Exams. Jr. Traina, Caetano, Agma Juci Machado Traina, and Josiel Maimoni de Figueiredo. In 17th IEEE Symposium on Computer-Based Medical Systems (CBMS´04), volume 1, pages 85--90, Bethesda, Maryland, 2004. IEEE Computer Society. [ bib ]
 
Knowledge Extraction using Visualization of Hemoglobin Parameters to Identify Thalassemia. Carlos Roberto Valêncio, Mauricio N. Tronco, Ana C. Bonini-Domingos, Cláudia R. Bonini-Domingos, Jr. Traina, Caetano, and Agma Juci Machado Traina. In 17th IEEE Symposium on Computer-Based Medical Systems (CBMS´04), volume 1, pages 523--528, Bethesda, Maryland, 2004. IEEE Computer Society. [ bib ]
 
DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data. Marcos Rodrigues Vieira, Jr. Traina, Caetano, Agma Juci Machado Traina, and Fábio Jun Takada Chino. In Sérgio Lifschitz, editor, Brazilian Symposium on Databases (SBBD), volume 1, pages 33--47, Brasília, DF, 2004. SBC. [ bib ]
 
The Fractal Dimension Making Similarity Queries More Efficient. Adriano Siqueira Arantes, Marcos Rodrigues Vieira, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Second Workshop on Fractals and Self-similarity in Data Mining: Issues and Approaches (in conjunction with 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining), pages 12--17, Washington, DC, 2003. ACM Press. [ bib ]
 
Operadores de Seleçã por Similaridade para Sistemas de Gerenciamento de Bases de Dados Relacionais. Adriano Siqueira Arantes, Marcos Rodrigues Vieira, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Alberto H. F. Laender, editor, Simpósio Brasileiro de Bancos de Dados (SBBD), volume 1, pages 341--35, Manaus, AM, 2003. SBC. [ bib ]
 
Uma Abordagem Eficiente para Recuperação de Imagens Médicas. Camilo Yamauchi Campo and Agma Juci Machado Traina. In Káthia Marçal de Oliveira and Álvaro Rabelo Jr., editors, 3º Workshop de Informática Médica - WIM'2003 - in CD-ROM, pages in CD--ROM, Fortaleza, CE, 2003. [ bib ]
 
Caracterização de Imagens através de Análise Multiresolução por Wavelets para Sistemas CBIR. César Armando Beltrán Castañón and Agma Juci Machado Traina. In César Ibarra Guerrero, editor, XXIX Conferência LatinoAmericana de Informática - CLEI´2003, page 12 pags.(em CDROM), La Paz - Bolivia, 2003. [ bib ]
 
Retrieval by Content of Medical Images Using Texture for Tissue Identification. Joaquim Cezar Felipe, Agma Juci Machado Traina, and Jr. Traina, Caetano. In 16th IEEE Symposium on Computer-based Medical Systems, pages 175--180, New York, 2003. IEEE Computer Society. [ bib ]
 
Using Efficient Visual Exploration Techniques to Evaluate Features for Content-based Image Retrieval. José Fernando Rodrigues Jr., César Armando Beltrán Castañón, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Maria Cristina Ferreira de Oliveira and Roberto Marcondes Cesar Jr., editors, 16th Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens (SIBGRAPI'03), volume 1, pages 183--190, São Carlos - SP, 2003. IEEE CS. [ bib ]
 
Using Efficient Visual Exploration Techniques to Evaluate Features for Content-based Image Retrieval. Jose Rodrigues, C A B Castanon, C Traina Jr, and A J M Traina. In XVI Brazilian Symposium on Computer Graphics and Image Processing, pages 183--190. IEEE Press, 2003. [ bib | DOI | .pdf ]
 
Enhancing data visualization techniques. Jose Rodrigues, A J Traina, and C Traina Jr. In International Workshop on Visual Data Mining in conjunction with ICDM 2003, volume 1, pages 97--112. Citeseer, 2003. [ bib | http ]
The challenge in the Information Visualization (Infovis) field is two-fold: the exploration of raw data with intuitive visualization techniques and the discover of new techniques to enhance the visualization power of well-known infovis approaches, improving the synergy between the user and the mining tools. This work pursues the second goal, presenting the use of interactive automatic analysis combined with visual presentation. To demonstrate such ideas, we present three approaches aiming to improve multivariate visualizations. The first approach, named Frequency Plot, combines frequencies of data occurrences with interactive filtering to identify clusters and trends in subsets of the database. The second approach, called Relevance Plot, corresponds to assign different shades of color to visual elements according to their relevance to a user’s specified set of data properties. The third approach makes use of basic statistical analysis presented in a visual format, to assist the analyst in discovering useful information. The three approaches were implemented in a tool enabled with refined versions of four well-known existent visualization techniques, and the results show an improvement in the usability of visualization techniques employed.

 
Desenvolvimento de um framework para analise visual de informações suportando data mining. Jose Rodrigues and Agma J M Traina. Master's thesis, University of Sao Paulo, - Sao Carlos, SP, Brazil, 2003. [ bib | .pdf ]
 
Frequency Plot and Relevance Plot to Enhance Visual Data Exploration. Jose Rodrigues, Agma J M Traina, and Caetano Traina Jr. In XVI Brazilian Symposium on Computer Graphics and Image Processing, pages 117--124. IEEE Press, 2003. [ bib | DOI | .pdf ]
 
SID: Calculating the Intrinsic Dimension of Data Streams. Elaine Parros Machado de Sousa, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Second Workshop on Fractals and Self-similarity in Data Mining: Issues and Approaches (in conjunction with 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining), pages 18--23, Washington, DC, 2003. ACM Press. [ bib ]
 
MultiWaveMed: A System for Medical Image Retrieval by Wavelets Transformations. Agma Juci Machado Traina, César Armando Beltrán Castañón, and Jr. Traina, Caetano. In 16th IEEE Symposium on Computer-based Medical Systems, pages 150--155, New York, 2003. IEEE Computer Society. [ bib ]
 
Integrating Images to Patient Electronic Medical Records through Content-based Retrieval Techniques. Agma Juci Machado Traina, Natália Abdala Rosa, and Jr. Traina, Caetano. In 16th IEEE Symposium on Computer-based Medical Systems, pages 163--168, New York, 2003. IEEE Computer Society. [ bib ]
 
Similarity Search in Multimedia Databases. Agma Juci Machado Traina and Jr. Traina, Caetano. In Burk Furht and Oge Marques, editors, Handbook of Video Databases - Design and Applications, volume 1, pages 711--738. CRC Press, 2003. [ bib ]
 
Efficient Content-based Image Retrieval through Metric Histograms. Agma Juci Machado Traina, Jr. Traina, Caetano, Josiane Maria Bueno, Fábio Jun Takada Chino, and Paulo Mazzoncini de Azevedo Marques. World Wide Web Journal (WWWJ), 6(2):157--185, 2003. [ bib ]
 
Algoritmo HCS: Indexação Eficiente com Métodos de Acesso Métricos com uso de Lógica Nebulosa. Claudio Haruo Yamamoto, Mauro Biajiz, and Jr. Traina, Caetano. In Alberto H. F. Laender, editor, Simpósio Brasileiro de Bancos de Dados (SBBD), volume 1, pages 184--199, Manaus, AM, 2003. SBC. [ bib ]
 
Extending SQL to Support Image Content-based Retrieval. Myrian Renata Barros Araújo, Agma Juci Machado Traina, and Jr. Traina, Caetano. In IASTED Intl. Conference Information Systems and Databases (ISDB 2002), page 6 p., Tokyo, Japan, 2002. [ bib ]
 
Extending Relational Databases to Support Content-based Retrieval of Medical Images. Myrian Renata Barros Araújo, Jr. Traina, Caetano, Agma Juci Machado Traina, Josiane Maria Bueno, and Humberto Luís Razente. In IEEE International Conference on Computer Based Medical Systems - CBMS, pages 303--308, Maribor, Slovenia, 2002. IEEE Computer Society. [ bib ]
 
Recuperação de Exames em Sistemas de Informação Hospitalar com Suporte a Busca de Imagens Baseada em Conteúdo. Myrian Renata Barros Araújo, Jr. Traina, Caetano, Agma Juci Machado Traina, and Paulo Mazzoncini de Azevedo Marques. In VIII Congresso Brasileiro de Informática em Saúde- CBIS'2002, Natal, RN-Brazil, 2002. [ bib ]
 
Data visualization in RDBMS. Maria Camila Nardini Barioni, Elisângela Botelho, Christos Faloutsos, Humberto Luís Razente, Agma Juci Machado Traina, and Jr. Traina, Caetano. In Yasushi Kiyoki, Masatoshi Yoshikawa, and Katsumi Tanaka, editors, IASTED Intl. Conference Information Systems and Databases (ISDB 2002), pages 264--269, Tokyo, Japan, 2002. Acta Press. [ bib ]
 
Visually Mining on Multiple Relational Tables at Once. Maria Camila Nardini Barioni, Humberto Luís Razente, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Yannis Manolopoulos and Pavol Návrat, editors, Advances in Databases and Information Systems - ADBIS, volume 2, pages 21--30, Bratislava, Slovakia, 2002. [ bib ]
 
How to Add Content-based Image Retrieval Capability in a PACS. Josiane Maria Bueno, Fábio Jun Takada Chino, Agma Juci Machado Traina, Jr. Traina, Caetano, and Paulo Mazzoncini de Azevedo Marques. In IEEE International Conference on Computer Based Medical Systems - CBMS, pages 321--326, Maribor, Slovenia, 2002. IEEE Computer Society. [ bib ]
 
cbPACS: PACS com Suporte à Recuperação de Imagens Médicas Baseada em Conteúdo. Josiane Maria Bueno, Agma Juci Machado Traina, Jr. Traina, Caetano, and Paulo Mazzoncini de Azevedo Marques. In VIII Congresso Brasileiro de Informática em Saúde- CBIS'2002, page 6 pags., Natal, RN-Brazil, 2002. [ bib ]
 
Recuperação de Imagem Baseada em Conteúdo: Uso de Atributos de Textura para Caracterização de Microcalcificações Mamográficas. Paulo Mazzoncini de Azevedo Marques, Marcelo Hossamu Honda, José Antônio H. Rodrigues, Rildo Ribeiro dos Santos, Agma Juci Machado Traina, Jr. Traina, Caetano, and Josiane Maria Bueno. Revista Brasileira de Radiologia, 35(2):93--98, 2002. [ bib ]
 
Sistema de Recuperação de Imagens Similares em um Hospital Universitário. Natália Abdala Rosa, Roberto Figueira Santos Filho, Josiane Maria Bueno, Agma Juci Machado Traina, and Jr. Traina, Caetano. In VIII Congresso Brasileiro de Informática em Saúde- CBIS'2002, Natal, RN-Brazil, 2002. [ bib ]
 
How to Use Fractal Dimension to Find Correlations between Attributes. Elaine Parros Machado de Sousa, Jr. Traina, Caetano, Agma Juci Machado Traina, and Christos Faloutsos. In First Workshop on Fractals and Self-similarity in Data Mining: Issues and Approaches (in conjunction with 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining), pages 26--30, Edmonton, Alberta, Canada, 2002. ACM Press. [ bib ]
 
The Metric Histogram: A New and Efficient Approach for Content-based Image Retrieval. Agma Juci Machado Traina, Jr. Traina, Caetano, Josiane Maria Bueno, and Paulo Mazzoncini de Azevedo Marques. In Xiaofang Zhou and Pearl Pu, editors, Sixth IFIP Working Conference on Visual Database Systems, volume 216 of IFIP Conference Proceedings, pages 297--311, Brisbane, Australia, 2002. Kluwer Academic Publishers. [ bib ]
 
Fast Indexing and Visualization of Metric Datasets Using Slim-trees. Jr. Traina, Caetano, Agma Juci Machado Traina, Christos Faloutsos, and Bernhard Seeger. IEEE Transactions on Knowledge and Data Engineering (TKDE), 14(2):244--260, 2002. [ bib ]
 
How to Improve the Pruning Ability of Dynamic Metric Access Methods. Jr. Traina, Caetano, Agma Juci Machado Traina, Roberto Figueira Santos Filho, and Christos Faloutsos. In International Conference on Information and Knowledge Management (CIKM), pages 219--226, McLean, VA, USA, 2002. ACM Press. [ bib ]
 
Sistema de Recuperação de imagens por Conteúdo em Arquitetura Aberta. Myrian Renata Barros Araújo, Josiane Maria Bueno, Humberto Luís Razente, Jr. Traina, Caetano, and Agma Juci Machado Traina. In Workshop de Informática Médica - WIM’2001 - in CD-ROM, volume in CD-ROM, Rio de Janeiro, RJ, 2001. [ bib ]
 
Visualização e Processamento de Imagens Médicas na Web. Josiane Maria Bueno, Fábio Jun Takada Chino, Humberto Luíz Razente, Agma Juci Machado Traina, Jr. Traina, Caetano, and Paulo Mazzoncini de Azevedo Marques. In Workshop de Informática Médica - WIM’2001 - in CD-ROM, volume in CD-ROM, Rio de Janeiro, RJ, 2001. [ bib ]
 
Java Speech Development Kit: A Tutorial. D A Moreira and Jose Rodrigues. Linux Journal, 1:1--17, January 2001. [ bib ]
The authors show how to get started developing voice-activated interfaces using the Speech for Java Development Kit.

 
Estudo e Desenvolvimento de Aplicações Java com Reconhecimento e Sintese de Voz. Jose Rodrigues and Dilvan Moreira. Technical Report 138, University of Sao Paulo, 2001. [ bib | .pdf ]
 
Similarity Search without Tears: The OMNI Family of All-purpose Access Methods. Roberto Figueira Santos Filho, Agma Juci Machado Traina, Jr. Traina, Caetano, and Christos Faloutsos. In IEEE International Conference on Data Engineering (ICDE), pages 623--630, Heidelberg, Germany, 2001. IEEE Computer Society. [ bib ]
 
Visualização de Dados em Sistemas de Bancos de Dados Relacionais. Agma Juci Machado Traina, Jr. Traina, Caetano, Maria Camila Nardini Barioni, Elisângela Botelho, and Renato Bueno. In Marta Lima de Queiróz Mattoso and Geraldo Xexéo, editors, Simpósio Brasileiro de Bancos de Dados (SBBD), pages 95--109, Rio de Janeiro, RJ, 2001. SBC. [ bib ]
 
Tri-Plots: Scalable Tools for Multidimensional Data Mining. Agma Juci Machado Traina, Jr. Traina, Caetano, Spiros Papadimitriou, and Christos Faloutsos. In Foster Provost and Srikant Ramakrishnan, editors, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 184--193, San Francisco, CA, 2001. ACM Press. [ bib ]
 
Spatial Join Selectivity Using Power Laws. Christos Faloutsos, Bernhard Seeger, Agma Juci Machado Traina, and Jr. Traina, Caetano. In ACM SIGMOD International Conference on Management of Data, pages 177--188, Dallas, TX, 2000. ACM Press. [ bib ]
 
Classification Abstraction: An Intrinsic Element in Database Systems. Elaine Parros Machado, Jr. Traina, Caetano, and Myrian Renata Barros Araújo. In Tatyana M. Yakhno, editor, First International Conference on Advances in Information Systems - ADVIS 2000, volume 1909 of Lecture Notes in Computer Science, pages 57--70, Izmir, Turkey, 2000. Springer Verlag. [ bib ]
 
Image Retrieval Based on Texture Content. Paulo Mazzoncini de Azevedo Marques, Rildo Ribeiro dos Santos, Agma Juci Machado Traina, Jr. Traina, Caetano, and Josiane Maria Bueno. In World Congress on Medical Physics and Biomedical Engineering (WC2000), Chicago, IL, 2000. [ bib ]
 
Image Retrieval Based in Texture Content Aiding Breast Cancer Diagnosis. Paulo Mazzoncini de Azevedo Marques, Rildo Ribeiro dos Santos, Agma Juci Machado Traina, Jr. Traina, Caetano, and Josiane Maria Bueno. In Fifth Intl. Workshop on Digital Mammography (IWDM-2000), Toronto, Canada, 2000. [ bib ]
 
Q-Script - A tool to Move Data Between two Relational Databases. Enzo Seraphim, Dinamérico Alonso Gaspar, and Jr. Traina, Caetano. In International Conference on Extending Database Technology (EDBT), University of Konstanz, Alemanha, 2000. [ bib ]
 
Distance Exponent: a New Concept for Selectivity Estimation in Metric Trees. Jr. Traina, Caetano, Agma Juci Machado Traina, and Christos Faloutsos. In IEEE International Conference on Data Engineering (ICDE), page 195, San Diego - CA, 2000. IEEE CS Press. [ bib ]
 
Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes. Jr. Traina, Caetano, Agma Juci Machado Traina, Bernhard Seeger, and Christos Faloutsos. In Carlo Zaniolo, Peter C. Lockemann, Marc H. Scholl, and Torsten Grust, editors, International Conference on Extending Database Technology (EDBT), volume 1777 of Lecture Notes in Computer Science, pages 51--65, Konstanz, Germany, 2000. Springer Verlag. [ bib ]
 
Fast feature selection using fractal dimension. Jr. Traina, Caetano, Agma Juci Machado Traina, Leejay Wu, and Christos Faloutsos. In Cláudia Maria Bauzer Medeiros and Karin Becker, editors, Brazilian Symposium on Databases (SBBD), pages 158--171, João Pessoa, PB, 2000. SBC. [ bib ]
 
Editor de Esquemas com Suporte para Hierarquias de Classificação. Myrian Renata Barros Araújo, Jr. Traina, Caetano, Mauro Biajiz, and Elaine Parros Machado. In Simpósio Brasileiro de Bancos de Dados (SBBD), pages 135--149, Maringá-PR, 1998. [ bib ]
 
Metamodelo para representação de Modelos de Dados utilizando uma Visão Parametrizada de Abstrações de Dados. Mauro Biajiz and Jr. Traina, Caetano. In Cláudia Maria Bauzer Medeiros, editor, BDatos'98 together with the IX Congreso Latino-Iberoamericano de Investigación Operativa and 27 Jornadas Argentinas de Informática e Investigación Operativa, pages 51--65, Buenos Aires, Argentina, 1998. [ bib ]
 
Content-based Retrieval of Musical Scores In An Object-oriented Database System. Marisa Beck Figueiredo, Jr. Traina, Caetano, and Agma Juci Machado Traina. In `, editor, Third Biennial World Conference on Integrated Designs and Process Technology - IDPT - Issues and Applications of Database Technology (IADT'98),of the Society for Design and Process Science, pages 352--359, Berlim, Germany, 1998. [ bib ]
 
A Tool for Content-Based Image Retrieval in Object Oriented Databases. Jr. Traina, Caetano, Agma Juci Machado Traina, Rildo Ribeiro dos Santos, and Edna Yoshico Senzako. In Third Biennial World Conference on Integrated Designs and Process Technology (IDPT) - Issues and Applications of Database Technology (IADT'98),of the Society for Design and Process Science, pages 344--351, Berlim, Germany, 1998. [ bib ]
 
Support to Content-Based Image Query in Object-Oriented Databases. Jr. Traina, Caetano, Agma Juci Machado Traina, Rildo Ribeiro dos Santos, and Edna Yoshico Senzako. In ACM Symposium on Applied Computing (SAC), pages 241--247, Atlanta, GA, 1998. ACM Press. [ bib ]
 
3D Reconstruction of Magnetic Resonance Imaging using Largely Spaced Slices. Agma Juci Machado Traina, Afonso Henrique de Almeida Prado, and Josiane Maria Bueno. In Peter Kokol, editor, 10th IEEE Symposium on Computer-Based Medical System - CBMS'97, pages 132--140, Maribor, Slovenia, 1997. IEEE Computer Society. [ bib ]
 
A System for 3D Reconstruction of Largely Spaced Tomographic Images. Agma Juci Machado Traina, Afonso Henrique de Almeida Prado, and Josiane Maria Bueno. Journal of Medical Systems - Plenum Press, 21(6):353--367, 1997. [ bib ]
 
Use of a Semantically Grained Database System for Distribution and Control within Design Environments. Jr. Traina, Caetano, João Eduardo Ferreira, and Mauro Biajiz. In Christian Lengauer, Martin Griebl, and Sergei Gorlatch, editors, Third International Euro-Par Conference on Parallel Processing, volume 1300 of Lecture Notes in Computer Science, pages 1130 -- 1135, Passau, Germany, 1997. Springer Verlag. [ bib ]
 
A Support System for Content-Based Medical Image Retrieval in Object Oriented Databases. Jr. Traina, Caetano, Agma Juci Machado Traina, Rildo Ribeiro dos Santos, and Edna Yoshico Senzako. Journal of Medical Systems, 21(6):339--352, 1997. [ bib ]
 
Content-based Medical Image Retrieval in Object Oriented Database. Jr. Traina, Caetano, Agma Juci Machado Traina, Rildo Ribeiro dos Santos, and Edna Yoshico Senzako. In 10th IEEE Symposium on Computer-Based Medical System, volume II, pages 67--72, Maribor, Slovenia, 1997. IEEE Press. [ bib ]
 
SIRIUS - Modelo de Dados Orientado a Objetos Baseado em Abstrações de Dados. Mauro Biajiz, Jr. Traina, Caetano, and Marina Teresa Pires Vieira. In Simpósio Brasileiro de Bancos de Dados (SBBD), pages 338--352, Sã Carlos, SP, 1996. [ bib ]
 
Controle de Compartilhamento e Acesso em GBDOO Baseado em Composição de Objetos. João Eduardo Ferreira and Jr. Traina, Caetano. In Simpósio Brasileiro de Bancos de Dados (SBBD), pages 143--157, Sã Carlos-SP, 1996. [ bib ]
 
Representação de Estruturas para Atributos Multivalorados em uma base de Dados Orientada a Objetos. Wanderlei Gazeta and Jr. Traina, Caetano. In Anais das 25º Jornadas Argentinas de Informática e Investigacion Operativa, pages 205--216, Buenos Aires-Argentina, 1996. [ bib ]
 
Uso da Abstração de Classificação em Modelos de Dados Orientados a Objetos. Jr. Traina, Caetano and Mauro Biajiz. In 25º Jornadas Argentinas de Informática e Investigacion Operativa, pages 125--136, Buenos Aires, Argentina, 1996. [ bib ]
 
Algoritmo para Criação e Gerenciamento de Identificadores de Objetos em um Gerenciador de Objetos. Jr. Traina, Caetano and Agma Juci Machado Traina. In Anais das 25º Jornadas Argentinas de Informática e Investigacion operativa, pages 137--148, Buenos Aires, Argentina, 1996. [ bib ]
 
Adding Conceptual Constructs to Support Distribution in an Object Oriented Model. Jr. Traina, Caetano and João Eduardo Ferreira. Simpósio Brasileiro de Bancos de Dados (SBBD), 1994. [ bib ]
 
O Papel da Abstração de Instanciação em um Meta-Modelo de Abstrações para Bases de Dados Orientadas a Objetos. Jr. Traina, Caetano, Agma Juci Machado Traina, and Mauro Biajiz. In Simpósio Brasileiro de Bancos de Dados (SBBD), pages 173 -- 187, Sã Carlos, 1994. [ bib ]
 
Relacionamentos em Modelos de Dados Orientados a Objetos. Mauro Biajiz, Jr. Traina, Caetano, and Oziride Manzoli Neto. In Ulrich Schiel, editor, Simpósio Brasileiro de Bancos de Dados (SBBD), pages 192--206, Campina Grande - PB, 1993. [ bib ]
 
Armazenagem e Gerenciamento de Informações Temporais em um Modelo de Dados Orientado a Objetos. Roberto Carlos da Silva and Jr. Traina, Caetano. In Simpósio Brasileiro de Bancos de Dados (SBBD), pages 93--107, Porto Alegre, RS, 1992. [ bib ]
 
GEO: Um Sistema de Gerenciamento de Bases de Dados Orientado a Objetos - Estado Atual de Desenvolvimento e Implementação. Jr. Traina, Caetano. In Simpósio Brasileiro de Bancos de Dados (SBBD), Manaus, AM, 1991. [ bib ]
 
Implementação de Um Gerenciador de Identificadores de Objetos, com Chaves de Tamanho Variável, para o Gerenciador de Objetos do Modelo de Representação de Objetos - GEO/MRO. Jr. Traina, Caetano and Osvaldo Kotaro Takai. In Simpósio Brasileiro de Bancos de Dados (SBBD), Rio de Janeiro, RJ, 1990. [ bib ]
 
Um Modelo de Representação de Objetos. Jr. Traina, Caetano and Jan Franz Willen Slaets. In Simpósio Brasileiro de Bancos de Dados (SBBD), Recife, PE, 1988. [ bib ]